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AI & Machine Learning News. 29, April 2019

Here’s everything you missed at the TECH-CRUNCH Sessions: Robotics + AI

Last week we held our third annual robotics event at UC Berkeley. It’s my favorite TechCrunch event, and this year’s was our best show to date. We had some amazing conversations with a number of the top names in robotics and artificial intelligence, demoed some incredible robots and broke some exciting news about the future of the category.
2019-04-27 00:00:00 Read the full story.
Interest Score: 1.0862, Positive Sentiment: 0.2773, Negative Sentiment 0.0693

CloudQuant Thoughts… Partial playlist on YouTube, not all the sessions are on the YouTube account so follow the full story link to see them all. You are sure to find something to pique your interest, like the video below, revolutionizing fast food delivery on College Campus’ across America.

Robotic Device Winds Its Own Way Through Beating Pig Heart

Borrowing from the way cockroaches skitter along walls, scientists have created a robotic device that safely guides itself through the delicate chambers of a pig’s heart as it’s beating.

Researchers at Boston Children’s Hospital turned the catheter’s camera tip into essentially an “optical whisker,” said cardiac bioengineering chief Pierre Dupont, the lead researcher. Just as cockroaches navigate along walls and rats reach out with their whiskers, the catheter maps its path through the heart, tapping periodically against the heart’s valve and wall ever so lightly — with about the force of a stick of butter sitting in your hand, Dupont said. The technology combines the camera’s images with machine learning to interpret what tissue it’s touching and how hard.

2019-04-24 Read the full story.

CloudQuant Thoughts… I never cease to be amazed by how much AI is moving the goalposts across ALL services and industries. The more we can free up the “teaching” of AI the more we can get out of it. This has obviously not escaped Microsoft’s notice…

Machine TEACHING : AI’s next frontier is experts teaching machines, Microsoft.

Microsoft executives say the next frontier in artificial intelligence will involve using human professionals’ expertise to train machine learning models. “Machine teaching” is essentially an interface that sits atop a machine learning layer to give people without the ability to code a way to train and deploy systems. Machine teaching can be applied to a number of areas, including text classification, conversational dialog, computer vision, and robotics, Microsoft VP for Business AI Gurdeep Pall told VentureBeat in a phone interview.

“I think there have to be some very concrete steps to make it a lot more accessible to the domain experts who really don’t understand what is happening inside the engine but … can actually specify the tasks, train the machine, and see whether it is working well or not and accordingly tweak it,” he said. “We believe this fits this really important need in this chasm that exists today between the AI experts and domain experts in the world.”

Recent AI startup acquisitions and years of Microsoft Research work will fuel initiatives to make machine teaching more widely available in the future, he said. Microsoft Research created the machine teaching group promising such capabilities in 2015.
2019-04-23 00:00:00 Read the full story.
Interest Score: 1.5606, Positive Sentiment: 0.1219, Negative Sentiment 0.0488

“Machine teaching” is a thing, and Microsoft wants to own it

Microsoft is rallying behind a new buzzword as it tries to sell businesses on artificial intelligence.

It’s called “machine teaching,” and it’s loosely defined by Microsoft as a set of tools that human experts in any field can use to train AI on their own. After steadily developing and acquiring some of these tools, Microsoft is hoping to popularize the concept of machine teaching with a big public push. The hope is…
2019-04-23 09:01:26 Read the full story.
Interest Score: 1.3096, Positive Sentiment: 0.2351, Negative Sentiment 0.0672

CloudQuant Thoughts… Releasing AI from the grips of the Data Scientists and putting it into the hands of domain experts is going to result in a dramatic shift in productivity for the human race. I refer back to a previously highlighted video where a game artist demonstrates how AI and ML are about to impact every aspect of his work… (See also AI can make art now but artists are not afraid).

 

 


 

 

IBM’s Watson Retreat Highlights AI Shortcomings (New Pharma Drug Discovery Program)

Amid reports of declining sales and growing skepticism about the utility of machine learning for complex medical research, IBM will reportedly end sales of its Watson AI software used by pharmaceutical firms for new drug discovery.

The health care news web site STAT reported last week that IBM (NYSE: IBM) is halting development and sales of its Watson AI drug discovery tools, citing disappointing sales. The company will instead shift the focus of its Watson Health offering to “clinical development,” the web site quoted a source said to be familiar with IBM’s strategy. Health care industry experts note that AI tools such as Watson may be better suited to applications like diagnostic imaging, where they often outperform humans in terms of objectivity.

IBM stressed in a statement it is not discontinuing its Watson drug discovery offering and remains “committed to its continued success for our clients currently using the technology. We are focusing our resources within Watson Health to double down on the adjacent field of clinical development where we see an even greater market need for our data and AI capabilities.”

2019-04-22 00:00:00 Read the full story.
Interest Score: 1.5267, Positive Sentiment: 0.2462, Negative Sentiment 0.1970

 

Repeatable Machine Learning With Kubeflow

In the last couple of years, we have heard a lot about machine learning and the plethora of tools and frameworks available to support these efforts. People have begun to understand that without data and proper data operations practices, these machine learning tools are very difficult to leverage. While there is an abundance of great tools available, there is one persistent complaint, and that is how to achieve simple repeatability. Workflow management must encompass the data scientists’ pipeline for attaining the data and preparing it, building and testing models, and versioning the entire workflow. It must also support versioning the data inputs, outputs, logs, and even performance metrics.

This workflow management task is one of the more critical pieces of infrastructure to support data scientists and the machine learning endeavors of any organization. In the book, Machine Learning Data Logistics, published by O’Reilly, it is noted that 90% of the time and effort that go into machine learning by a data scientist is devoted to data logistics. Anything that can be done to reduce that level of effort should be considered very important to the success of machine learning-based programs.
2019-04-24 00:00:00 Read the full story.
Interest Score: 1.4854, Positive Sentiment: 0.3932, Negative Sentiment 0.1747

 

How I Passed the Google Cloud Professional Data Engineer Certification Exam

So you want to get a fresh hoodie like the one I have in the cover photo?

Or you’ve been looking at getting Google Cloud Professional Data Engineer Certified and you’re wondering how to do it.

Over the past few months, I’ve been taking courses alongside using Google Cloud to prepare for the Professional Data Engineer exam. Then I took it. And I passed. And a few weeks later my hoodie arrived. The certificate came quicker.

This article will lis…
2019-04-27 12:42:32.648000+00:00 Read the full story.
Interest Score: 1.2426, Positive Sentiment: 0.1274, Negative Sentiment 0.0797

 

3 reasons why AI will never match human creativity

Neural networks–a common type of artificial intelligence–are infiltrating every aspect of our lives, powering the internet-connected devices in our homes, the algorithms that dictate what we see online, and even the computational systems in our cars. But according to an article published in the peer-reviewed journal Big Data & Society by Anton Oleinik, a sociology professor at Memorial University of Newfoundland, there’s one crucial area where neural networks do not outperform humans: creativity.

Researchers have projected that automation may claim 800 million jobs around the world by 2030. Others suggest that as many as half of American jobs may be under threat from automation. But amid all the handwringing about robots taking people’s jobs, Oleinik’s analysis is further evidence that AI will likely only replace repetitive tasks that humans aren’t particularly skilled at to begin with. Even as AI creeps into creative fields, it is still only doing the work of recommending ideas to a human designer, who is spared some of his or her job’s mindlessness but still makes the final call about what a website or app will look like.
2019-04-25 08:00:17 Read the full story.
Interest Score: 1.3713, Positive Sentiment: 0.5538, Negative Sentiment 0.3165

 

Here’s how Amazon innovation guru Paul Misener uses machine learning at home

Taking advantage of artificial intelligence and machine learning may be part of Paul Misener’s job as an Amazon executive, but he’s doing it for fun as well.

“Amazon SageMaker is a really cool service offered by Amazon Web Services,” he told the audience at the Washington State Convention Center. “This brings machine learning out to everyone, including me. I’ve done some fooling around with things on it, some hobby things.”

“My son and I have a project where we’re assessing the occurrence of tornadoes in the Plains states in the United States, and relating them to weather measurements in advance,” he explained. “So the ML is looking at the data set and saying, is it possible that a slight drop in air pressure two days in advance of a tornado .. is there some causality there? Could it lead to better tornado predictions?”
2019-04-25 02:20:31-07:00 Read the full story.
Interest Score: 1.0199, Positive Sentiment: 0.2985, Negative Sentiment 0.0746

 

The Relevance of Big Data For Multi-Factor Authentication Solutions

Big data is playing an essential role in authentication. This will become a greater concern than ever, as security risks mount.

Kaushik Pal wrote an insightful article on user authentication in Technopedia a couple of years ago. The importance of user authentication has risen since that article was first published. Experts are now discussing the role of multi-factor authentication solutions. Big data is proving to be a vital component to that.

In today’s day and age, simple passwords as security measures are no longer safe. According to one study, 86% of passwords are notoriously insecure. But even passwords that are secure are vulnerable if they aren’t managed well and protected with additional authentication options.
2019-04-24 20:00:54+00:00 Read the full story.
Interest Score: 1.0830, Positive Sentiment: 0.4247, Negative Sentiment 0.1699

 

Attunity Launches Real-Time Data Pipeline Automation for Databricks Unified Analytics Platform

According to a recent press release, “Attunity Ltd., a leading provider of data integration and big data management software solutions, today announced Attunity for Databricks Unified Analytics Platform, a new solution designed to automate streaming data pipelines to make data seamlessly available to accelerate machine learning (ML), artificial intelligence (AI) and data science initiatives. The Attunity software is the first to provide continuous change data capture, delivery and automated refineme…
2019-04-26 07:05:10+00:00 Read the full story.
Interest Score: 2.8648, Positive Sentiment: 0.1999, Negative Sentiment 0.2665

Data Science in 90 Seconds

This is Lesson 13 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, kNN, Ridge Regression, and more.

In today’s video blog Laura discusses LASSO.
2019-04-26 07:35:08+00:00 Read the full story.
Interest Score: 2.8169, Positive Sentiment: 0.0000, Negative Sentiment 0.2347

4 Trends to Watch in Regulatory AI

These top 4 trends of AI in regulatory compliance for financial services can give banks a competitive advantage in today’s data-centric world.

Innovative technologies leveraging Artificial Intelligence (AI) empower the automation of regulatory compliance and business processes; analysts view this type of automation as a top trend for financial institutions in 2019. According to PwC, 20% of business executives surveyed plan to incorporate AI throughout their companies in 2019. According to Forbes, financial institutions that choose not to adopt AI now will lose significant competitive advantage….
2019-04-25 11:01:10 Read the full story.
Interest Score: 2.3514, Positive Sentiment: 0.4444, Negative Sentiment 0.2777

Improved AI Capabilities are the Focus in the Latest SAP Customer Support Update

SAP is adding enhancements to its Next-Generation Support concept, including developments to AI-driven features such as incident solution matching and real-time support resources like the Schedule an Expert and Expert Chat services. Through the integration of machine learning and artificial intelligence (AI), these intelligent tools are helping to automate the customer support experience and deliver targeted results in a shorter amount of time.

“The overall mission of the Next-Generation Support approach from SAP is to minimize the effort and time required by SAP customers, while maximizing their business outcomes,” said Andreas Heckmann, global senior vice president and head of customer success services.
2019-04-24 00:00:00 Read the full story.
Interest Score: 2.1860, Positive Sentiment: 0.3256, Negative Sentiment 0.2326

Mosaic Smart Data snags $9 million in funding

Commerzbank’s VC arm and Octopus Ventures have joined JPMorgan in a $9 million fund raise for capital markets data analytics startup Mosaic Smart Data.

The London firm’s technology uses algorithms to sift through data from fragmented fixed income markets and present the outcomes in a real-time customisable dashboard to help sales staff better visualise and anticipate client activity.

Mosaic Smart Data was the first graduate from JPMorgan’s In-Residence startup programme, in which startups work side-by-side with the…
2019-04-29 09:54:00 Read the full story.
Interest Score: 2.0896, Positive Sentiment: 0.1493, Negative Sentiment 0.0746

Mosaic Smart Data closes USD9m funding round

Mosaic Smart Data, a real-time capital markets data analytics company, has completed an USD9 million investment round to support its rapid product development and global expansion.

The round was co-led by CommerzVentures and Octopus Ventures and includes JP Morgan – an existing investor and client.

Daily trading activity in the capital markets generates vast quantities of raw transaction and pricing data. Institutions are increasingly looking to extract…
2019-04-29 00:00:00 Read the full story.
Interest Score: 2.0381, Positive Sentiment: 0.4235, Negative Sentiment 0.1059

Databricks Donates Delta Code to Open Source

Databricks today announced that it’s open sourcing the code behind Databricks Delta, the Apache Spark-based product it designed to help keep data neat and clean as it flows from sources into its cloud-based analytics environment. Delta Lake, as the new offering is called, will be freely available under a permissive Apache 2.0 license.

Databricks originally launched Delta back in 2017 to help provide greater order to its cloud customers’ data man…
2019-04-24 00:00:00 Read the full story.
Interest Score: 1.9192, Positive Sentiment: 0.1355, Negative Sentiment 0.1806

Driving Digital Transformation in 2019: Charting a Roadmap for Success

Right now, we are experiencing a perfect storm of factors changing the competitive dynamics of many industries. A confluence of technologies — including cloud, artificial intelligence, machine learning, and the Internet of Things — are helping companies aggregate, process, analyze, and act upon ever-growing volumes, variety, and velocity of data. There are also new business models emerging to disrupt incumbents with well-established ways of solving problems in their sectors.

It’s time to re-think legacy operations and embark on a digital transformation journey of your own. In this whitepaper y…
2019-04-25 00:00:00 Read the full story.
Interest Score: 1.8018, Positive Sentiment: 0.6006, Negative Sentiment 0.3003

3 Machine Learning Books that Helped me Level Up

There is a Japanese word, tsundoku (積ん読), which means buying and keeping a growing collection of books, even though you don’t really read them all.

I think we Developers and Data Scientists are particularly prone to falling into this trap. Personally, I even hoard bookmarks: my phone’s Chrome browser has so many open tabs, the counter was re…
2019-04-28 06:57:44+00:00 Read the full story (paywall after a certain number of views).
Interest Score: 1.7976, Positive Sentiment: 0.2105, Negative Sentiment 0.1296

Expanding Your Data Science and Machine Learning Capabilities

Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver repeatable, scalable business value. The challenges are numerous, from selecting data sets and data platforms, to architecting and optimizing data pipelines, and model training and deployment. In response, new solutions have emerged to deliver key…
2019-04-30 00:00:00 Read the full story.
Interest Score: 1.7831, Positive Sentiment: 0.1928, Negative Sentiment 0.0482

Why your board needs an AI council

Imagine you’re sitting on the board of a thriving global corporation in the year 1980, before anyone had ever heard of a Chief Information Officer. How could you possibly imagine what lay ahead? Personal computers. The World Wide Web. E-commerce. Social networks. Smartphones. Big data.

Companies that were quick to grasp the power of each historic advance often gained unprecedented competitive advantage, while others made farcically bad technology bets, suffered ignominious data breaches, and watched helplessly as tech-savvy competitors hijacked their markets.

In 2019, artificial intelligence (AI) holds comparable potential to disrupt and reshape the world. AI is already delivering more impact, more quickly than many anticipated. And the sweeping potential of AI creates one of those rare instances when one can say “It will change practically everything” and not be remotely hyperbolic.
2019-04-28 00:00:00 Read the full story.
Interest Score: 1.7775, Positive Sentiment: 0.2939, Negative Sentiment 0.3219

Overcoming Data Integration and Governance Challenges

SPECIAL DBTA ROUNDTABLE WEBINAR THURSDAY, JUNE 27 – 11:00 am PT / 2:00 pm ET

The proliferation of data sources, types, and stores is increasing the challenge of combining data into meaningful, valuable information. The need for faster and smarter data integration capabilities is growing. At the same time, to deliver business value, people need information they can trust to act on, so balancing governance is absolutely critical nowadays, especial…
2019-06-27 00:00:00 Read the full story.
Interest Score: 1.7544, Positive Sentiment: 0.2193, Negative Sentiment 0.6579

Data Analytics And Automation To Transform Finance Jobs

A study commissioned by the Institute of Banking and Finance Singapore (IBF) and the Monetary Authority of Singapore (MAS) has set out how data analytics and automation are likely to augment or transform 121 job roles in Singapore’s financial sector over the next 3 to 5 years.

The study, conducted by Ernst & Young over the last nine months and released today by Minister for Manpower, Mrs Josephine Teo, also identified the skills necessary to perform the new tasks enabled by data analytics and automation. IBF and Workforce Singapore (WSG) today al…
2019-04-24 08:00:14+00:00 Read the full story.
Interest Score: 1.7541, Positive Sentiment: 0.2954, Negative Sentiment 0.0554

Progress in The Book of Alternative Data – Cuemacro

ort, and tried to think of something else to write. The difficulty though was picking the right subject! Luckily, Alexander Denev approached me earlier this year, suggesting we co-author “The Book of Alternative Data” for finance. The book is due to be published by Wiley in early 2020 and should be available for pre-order on Amazon before the end of 2019.

Alexander has done a lot of work in the area of alternative in his previous roles, including at IHS Markit. On my side, I’ve done several research projects on alternative data, including one with Bloomberg, showing how their machine readable news can be use…
2019-04-27 00:00:00 Read the full story.
Interest Score: 1.7144, Positive Sentiment: 0.0000, Negative Sentiment 0.1875

Computer Vision and Data Engineering Podcast with Dat Tran

How do computer vision techniques work in an industry setting? How does an organization use data engineering to scale up its operations?

These are questions every aspiring data scientist must be aware of. Dat Tran, Head of Data Science at idealo internet GmbH, is the perfect person to shed light on these questions.

Dat has worked on a variety of data engineering projects before he came to idealo, and now leads a team of data scien…
2019-04-25 03:23:03+00:00 Read the full story.
Interest Score: 1.6874, Positive Sentiment: 0.2331, Negative Sentiment 0.2109

A Brief History of the Hadoop Ecosystem

In 2002, internet researchers just wanted a better search engine, and preferably one that was open-sourced. That was when Doug Cutting and Mike Cafarella decided to give them what they wanted, and they called their project “Nutch.” Hadoop was originally designed as part of the Nutch infrastructure, and was presented in the year 2005.

The Hadoop ecosystem narrowly refers to the different software components available at the Apache Hadoop Commons …
2019-04-24 07:35:59+00:00 Read the full story.
Interest Score: 1.6796, Positive Sentiment: 0.1120, Negative Sentiment 0.1120

Upbeat Headline US Q1 GDP Fails to Boost Dollar

Summary: The US Dollar slipped against it’s Rivals despite a climb in US Q1 Annual GDP to 3.2% (against forecasts of 2.3%). Private sector consumption slowed sharply in the first quarter of 2019. Annual Core PCE Deflator, which is the Fed’s favoured inflation measure, rose 1.2% against 2.5% from the previous quarter. US Bond yields fell. The 2-year yield closed 5 basis points lower to 2.28% while the benchmark 10-year yield lost 3 basis points to…
2019-04-29 11:07:10+10:00 Read the full story.
Interest Score: 1.6414, Positive Sentiment: 0.2069, Negative Sentiment 0.3586

Top Extract-Transform-Load (ETL) Tool Vendors

Organizations face steep obstacles related to finding answers amid growing mountains of data. Somewhere between the promise of broader and deeper insights and far more powerful tools for delivering answers lies ETL (extract, transform and load) software. It aids in copying or moving data from one source or repository to another and ensuring that the data is formatted correctly for the task at hand. Simply put, ETL makes it possible to put data to…
2019-04-23 00:00:00 Read the full story.
Interest Score: 1.6346, Positive Sentiment: 0.1327, Negative Sentiment 0.0543

Next Generation Business Intelligence: Customer-Driven Success

In the customer-driven era, business success depends on how quickly a business can respond to a customer demand. The more that businesses become reliant on real-time outcomes, the more they will seek next-generation (next-gen) BI deployments.

Traditional Business Intelligence (BI) platforms were high-cost and time-intensive applications. The current trend in BI is to move toward “insights-only” platforms, which can instantly respond to dynamic…
2019-04-25 07:35:27+00:00 Read the full story.
Interest Score: 1.6047, Positive Sentiment: 0.2188, Negative Sentiment 0.1167

Machine Learning Tool Creates a Paper Trail

The application of AI tools to the shuffling of paperwork—tedious, yet essential—is getting another upgrade with the release of a framework designed to sift through, analyze and organize digital documents and contracts.

Conga, the privately-held digital document organizer, this week released a machine learning-based AI Analyze tool designed to identify and convert both structured and unstructured data in contracts and other documents. The AI “engine” is being integrated with the company’s digital document suite as a way to speed up the processing while improving the accuracy of rounding up critical contract information. Among the benefits, Conga said this week, is accelerating the contract negotiation process.
2019-04-23 00:00:00 Read the full story.
Interest Score: 1.5830, Positive Sentiment: 0.1638, Negative Sentiment 0.3821

White House Soon to Release a New AI Roadmap and Guidance for Agencies

A top White House official on artificial intelligence, following an executive order prioritizing artificial intelligence research in government, said the administration will soon release a new AI roadmap and guidance for agencies to follow.

Lynne Parker, the assistant director for artificial intelligence at the White House’s Office of Science and Technology Policy, speaking on April 18 at the National Academy for Public Administration, said her office expects to release an updated National AI R&D Strategic Plan later this spring.

The update, she said, will reflect comments the White House received from a request for information the National Science Foundation issued last fall, and will replace OSTP’s previous AI research plan released under the Obama administration in October 2016.
2019-04-23 14:20:16+00:00 Read the full story.
Interest Score: 1.5657, Positive Sentiment: 0.1648, Negative Sentiment 0.1236

 

Big Data Challenges of Industry 4.0

The original Industrial Revolution, which straddled the second half of the 18th century and the first half of the 19th century, transformed the world as mechanized, engine-powered production processes and tools replaced manual methods. For better or worse, the first Industrial Revolution gave rise to the factory system and mass production.

Fast forward two hundred years or so, and 21st-century manufacturers are now being swept up by the fourth industrial revolution—Industry 4.0. Cutting-edge digital technologies are being harnessed to optimize and automate production, including upstream supply-chain processes. The ultimate goal of Industry 4.0 is that always-connected sensors embedded in machines, components, and works-in-progress will transmit real-time data to networked IT systems. These, in turn, apply machine learning and artificial intelligence algorithms to analyze and gain insights from this big data and adjust processes automatically as needed.
2019-04-25 00:00:00 Read the full story.
Interest Score: 1.5530, Positive Sentiment: 0.2867, Negative Sentiment 0.1792

Intel cuts forecast as China data center sales remain weak

Chipmaker Intel Corp on Thursday cut its full-year revenue forecast and missed analysts’ estimates for first-quarter sales for the data center business that has driven growth as PC sales declined in recent years, sending its shares down as much as 7.5%.

Intel said China’s economy was consuming fewer microchips than it had expected, adding to concerns that an industry-wide slowdown could persist until the end of 2019. Intel’s outlook follows a similar warning earlier this week from chipmaker Texas Instruments Inc, whose broad lineup of products makes it a proxy for the industry chip industry.
2019-04-25 22:45:29+00:00 Read the full story.
Interest Score: 1.5459, Positive Sentiment: 0.1154, Negative Sentiment 0.3461

 

 

Generalized Language Models by Lilian Weng

Extensive four-part series by Lillian Weng of OpenAI.

Part 1: CoVe, ELMo & Cross-View Training
Part 2: ULMFiT & OpenAI GPT
Part 3: BERT & OpenAI GPT-2
Part 4: Common Tasks & Datasets

In my previous NLP post on word embedding, the introduced embeddings are not context-specific — they are learned based on word concurrency but not sequential context. So in two sentences, “I am eating an apple” and “I have an Apple phone”, two “apple” words refer to very different things but they would still share the same word embedding vector.

Despite this, early adoption of word embeddings in problem-solving is to use them as additional features for an existing task-specific model and in a way the improvement is bounded.

In this post, we will discuss how various approaches were proposed to make embeddings dependent on context, and to make them easier and cheaper to be applied to downstream tasks in general form.

2019-04-24 16:50:40-08:00 Read the full story.
Interest Score: 1.4546, Positive Sentiment: 0.1631, Negative Sentiment 0.1359

Orion Business Innovation Finds Disparity Between AI Talk and AI Knowledge

A new press release reports, “Orion Business Innovation, a fast-growing firm focused on digital transformation and a global player in the artificial intelligence (AI) space, released the results of its recent survey aimed at testing the industry’s understanding of AI, its context and history. While artificial intelligence (AI) is the buzzword of the moment with everyone talking about the attributes and a future powered by AI, Orion’s quiz revealed that enthusiasm for AI exceeds knowledge of its origins and fundamental mathematical constructs. The AI quiz,…
2019-04-26 07:10:38+00:00 Read the full story.
Interest Score: 1.4346, Positive Sentiment: 0.2125, Negative Sentiment 0.1594

Automation Is Becoming a Business Imperative: Don’t Wait Until It’s Too Late

In a 2017 global survey on robotic process automation, Deloitte found that more than half of its respondents were already using machines to perform jobs previously carried out by humans.

Job security concerns aside, people tend to agree that machines make work easier. In fact, in a survey by KRC Research, nearly 80 percent of executives polled agreed that they could save 360 hours a year through automation. These findings aren’t just important for leaders of large businesses, either. As a startup founder, you should be paying attention, too.
2019-04-22 23:06:54 Read the full story.
Interest Score: 1.4272, Positive Sentiment: 0.3601, Negative Sentiment 0.2668

Field Tech Services Get an ML Boost

One area where AI technology is having an immediate impact is the field services sector where the dispatching of a technician who fails to resolve a problem on the first visit hits service providers in the pocket book. One way of reducing what the technical services industry calls unnecessary “truck rolls” and parts consumption is a “remote triage” framework unveiled this week by ServiceMax, a provider of cloud-based technical service software.

The tool is based on machine learning platform developed by partner Aquant that among other things incorporates the expertise of experienced technicians. The AI platform uses machine learning to understand a client’s unique vocabulary for delivering technical services. The goal is to maximize use of company resources and while boosting what the field service industry calls “first-time fix rates.”
2019-04-25 00:00:00 Read the full story.
Interest Score: 1.4206, Positive Sentiment: 0.1869, Negative Sentiment 0.2991

Central Element of World AI Leadership is Over Norms and Valuesd “AI with American Values”

Much of the discussion of nation-state competition in artificial intelligence (AI) focuses on relatively easily quantifiable phenomena including funding, technological advances, access to data and computational power, and the speed of AI industrialization. However, a central element of AI leadership is something much less tangible: control over the norms and values that shape the development and use of AI around the world.

The U.S. government has overlooked this dimension of AI development for years, but the last couple months indicate the beginnings of a change of course. If the U.S. hopes to maintain global AI leadership, the government must continue to stake out a comprehensive positive vision, or we may find that the future of AI is a world few of us want to live in.

Moreover, on March 19, The White House launched AI.gov, an online resource to showcase the administration’s efforts and commitments on AI. One of the five sections is titled “AI with American Values,” and describes US “core values” as including freedom, guarantees of human rights, the rule of law, stability in our institutions, rights to privacy, respect for intellectual property, and opportunities to all to pursue their dreams. The site says, “The AI technologies we develop must also reflect these fundamental American values and our devotion to helping people.”

2019-04-26 14:00:08+00:00 Read the full story.
Interest Score: 1.4006, Positive Sentiment: 0.3622, Negative Sentiment 0.1207

Don’t Make These Data Science Mistakes in IoT

Data science is tough enough already. Whether you’re looking to act upon data collected from IoT sensors or human generators, don’t make it harder than it has to be by making these three common data science mistakes.

Failure, unfortunately, is not unusual when it comes to big data and data science — and it’s even more troublesome when dealing with large amounts of sensor data from the Internet of Things. When you consider the number of organizat…
2019-04-22 00:00:00 Read the full story.
Interest Score: 1.3997, Positive Sentiment: 0.1524, Negative Sentiment 0.3465

Facebook’s FTC fine will be a wrist slap, and investors are thrilled

The Federal Trade Commission said it would levy a “record-setting” fine against Facebook for the company’s many privacy sins. But, it turns out, the fine won’t likely harm Facebook very much or for very long. It’ll be more like a wrist slap–a loud sound but not much of a real sting.

The company and the agency are still in negotiations over the amount and terms of the FTC fine. But Facebook said in its Q1 earnings report that it’s taking a $3 billion loss in preparation for paying the penalty, which it expects will be between $3 billion and $5 billion. When the markets got wind of this, the company’s stock surged 4.6% in after-hours trading, and is trading up almost 8% hours after the earnings announcement.
2019-04-24 19:49:27 Read the full story.
Interest Score: 1.3834, Positive Sentiment: 0.0791, Negative Sentiment 0.4348

Why Telecoms Are at Leading Edge of Analytics Innovation

Cisco Systems forecasts that mobile data will reach 77 exabytes per month by 2022. While most people don’t even think about the massive amount of data we create on a daily basis, telecommunications companies know all about it. The internet of things, smart devices and new content platforms have telecommunications companies facing a data onslaught.

Interestingly, most telecom providers are innovating with analytics to turn this data challenge into an opportunity. In this eWEEK Data Points article, using industry information from Josh Miner, Director of Technical Marketing at Yellowbrick Data, we’ll take a look at how they are optimizing their business from top to bottom.
2019-04-26 00:00:00 Read the full story.
Interest Score: 1.3795, Positive Sentiment: 0.1273, Negative Sentiment 0.2547

 

Amazon reports $59.7 billion in Q1 2019 revenue: AWS up 41%, subscriptions up 40%, and ‘other’ up 34%

Amazon today reported earnings for its first fiscal quarter of 2019, including revenue of $59.7 billion, net income of $3.6 billion, and earnings per share of $7.09 (compared to revenue of $51.0 billion, net income of $1.6 billion, and earnings per share of $3.27 in Q1 2018). North American sales were up 17% to $35.8 billion, while international sales grew 9% to $16.2 billion.

Analysts had expected Amazon to earn $59.65 billion in revenue and re…
2019-04-25 00:00:00 Read the full story.
Interest Score: 1.3457, Positive Sentiment: 0.1282, Negative Sentiment 0.0641

How can banks win against the tech and internet giants?

Innovation has not occurred at a rapid pace in banking as it has in other industry sectors. Over a year down the line from the introduction of open banking it’s only fairly recently that we have started to see the first signs of the innovation it promised in helping to improve services for customers in the digital age.

One of the most prominent has seen retail banks working with others to offer customers access to all their account information f…
2019-04-26 10:54:00 Read the full story.
Interest Score: 1.3450, Positive Sentiment: 0.3539, Negative Sentiment 0.0708

America’s biggest banks are offloading parts of their home-loan businesses to machine-powered startups, as they try and fend off sagging profits

The business of buying a home has long been the dominion of banks, requiring time and human interaction. But amid mounting industry pressures, home lending is being delegated to the machines.

In recent years, banks have been handing off key components of their mortgage businesses to scrappy tech startups armed with data and algorithms, betting they’ll be able to trim costs or sharpen a competitive edge in an industry reckoning with heightened co…
2019-04-26 00:00:00 Read the full story.
Interest Score: 1.2968, Positive Sentiment: 0.3095, Negative Sentiment 0.1621

Paving the Way to Success in AI and Intelligent Process Automation

While a lot of AI implementations are still exploratory these days, there are many examples of companies starting to gain real traction behind the scenes – applying AI to automate manual, back-office business processes.

Sometimes referred to as intelligent process automation (“IPA”), these back-office use cases focus on manual, document-based workflows such as contract analytics, audit planning and reporting, RFP analysis and composition, sales …
2019-04-23 00:00:00 Read the full story.
Interest Score: 1.2642, Positive Sentiment: 0.2501, Negative Sentiment 0.1806

Seattle startup AppSheet raises $15M for no-code app development platform, will open Portland hub

Seattle startup AppSheet has raised $15 million to fuel growth of its platform that helps businesses develop their own data-based apps without requiring a team of developers.

Shasta Ventures led the round, with participation from existing investor New Enterprise Associates. Total funding to date is $19.3 million.

Founded in 2014, AppSheet sells software that enables nearly 6,000 customers such as Husqvarna Group, Solvay, Tigo Guatemala, America…
2019-04-25 22:11:19-07:00 Read the full story.
Interest Score: 1.2580, Positive Sentiment: 0.2677, Negative Sentiment 0.1071

Why OpenText is integrating AI and analytics into every new product it builds

OpenText is building AI-powered analytics into every new information management product it develops and has set a goal of becoming the number one AI provider in that market. The company says it is “bullish” about its chances because of the highly targeted approach it is taking, learning from its competitors missteps.

OpenText’s analytics platform, named Magellan, was released two years ago primarily as an analytics tool. Now, the company says the technology has matured and is being used in many of its existing products and the enterprise information management company has mandated it be part of every new solution. Magellan can also be considered a semantic analysis platform and a “crawling” technology, able to connect to several data sources including unstructured data, Majzoub said.
2019-04-23 09:59:14+10:00 Read the full story.
Interest Score: 1.2437, Positive Sentiment: 0.1555, Negative Sentiment 0.1166

 

Getting Up-to-Speed on DataOps at Data Summit 2019

DevOps is by now a familiar term that relates to developers and production teams working in a coordinated fashion to deliver software more quickly for business requirements.

Now, DataOps has emerged as an agile methodology to improve the speed and accuracy of analytics through new data management practices and processes, from data quality and integration through to model deployment and management.

However, DataOps is not yet well-understood, sa…
2019-04-25 00:00:00 Read the full story.
Interest Score: 1.2419, Positive Sentiment: 0.3477, Negative Sentiment 0.1490

Artificial intelligence should get the same ethical protections as animals

Universities across the world are conducting major research on artificial intelligence, as are organizations such as the Allen Institute, and tech companies including Google and Facebook. A likely result is that we will soon have AI approximately as cognitively sophisticated as mice or dogs. Now is the time to start thinking about whether, and under what conditions, these AIs might deserve the ethical protections we typically give to animals.

Discussions of “AI rights” or “robot rights” have so far been dominated by questions of what ethical obligations we would have to an AI of humanlike or superior intelligence–such as the android Data from Star Trek or Dolores from Westworld. But to think this way is to start in the wrong place, and it could have grave moral consequences. Before we create an AI with humanlike sophistication deserving humanlike ethical consideration, we will very likely create an AI with less-than-human sophistication, deserving some less-than-human ethical consideration.
2019-04-29 07:00:22 Read the full story.
Interest Score: 1.2021, Positive Sentiment: 0.0286, Negative Sentiment 0.4007

Funds at your disposal: Digital lending making inroads into traditional lending

The penetration of the internet of things and devices such as smartphones has brought in many advancements. This has made economic activities available at the touch of a button. Among the various sectors, the digital world has evolved the way traditional banking processes are being carried out. A growing number of businesses and individuals are filling applications online for taking loans rather than getting into the lengthy lending process.

Ear…
2019-04-24 16:33:15 Read the full story.
Interest Score: 1.1905, Positive Sentiment: 0.2310, Negative Sentiment 0.1777

What AI Can (and Can’t) Do Right Now to Fight CNP Fraud

AI is a powerful tool in the fight against online payment fraud. However, AI alone can’t provide all the functions merchants need to prevent fraud and avoid expensive, reputation-damaging false positives. It’s important for merchants to know where anti-fraud AI stands now, where human expertise fits into the current fraud-prevention ecosystem, and what’s on the horizon as AI improves.

AI fraud-prevention tools use real-time identity, device, location, and behavioral markers to score transactions for fraud risk and automatically approve those within the acceptable score range – all far faster than a human fraud analyst can. This capability makes it possible for merchants to offer online, mobile, voice, and omnichannel shopping without forcing customers to jump through multiple hoops to prove their identity before every transaction.
2019-04-24 11:00:00+00:00 Read the full story.
Interest Score: 1.1858, Positive Sentiment: 0.1525, Negative Sentiment 0.9995

Analyzing the earthquakes in USA to determine the possibly risky to quakes hotels.

Ever wondered if there was a prediction system that could accurately predict the earthquakes far before it could hit the grounds beneath our feet, the fatalities and the destruction of several skyscrapers, homes, hotels would have drastically decrease and so we could have escaped fro…
2019-04-28 12:27:52.736000+00:00 Read the full story.
Interest Score: 1.1703, Positive Sentiment: 0.1198, Negative Sentiment 0.2467

 

From finance firms to factories — technology powers industry innovation

Recently, I joined a ribbon-cutting at the new Bank of America location on Microsoft’s campus in Redmond, Washington. The financial center is a great example of co-innovation with our customers. It features some test technology only available at this location, like a holographic greeter, with capabilities in English, Spanish and American Sign Language. The bank’s associates are equipped with Surface Pros to help stay connected and deliver custome…
2019-04-22 00:00:00 Read the full story.
Interest Score: 1.0780, Positive Sentiment: 0.4200, Negative Sentiment 0.1260

Disrupting the disruptors: How AI and voice recognition can transform the customer experience

Fintech companies are well known for disrupting the banking industry and forever changing the way it operates. Now these organisations must embrace technologies like Artificial Intelligence (AI) and voice recognition to transform the way communicate with their customers.

When consumers ring businesses it is more often than not because they have an urgent matter to resolve, particularly when they call their bank. However, people are often faced w…
2019-04-29 09:44:42 Read the full story.
Interest Score: 1.0497, Positive Sentiment: 0.3087, Negative Sentiment 0.3087

The rise of Chief Behavioural Officer and how to hack customers’ mind

Financial Services has traditionally been a game of numbers, aggressive product (mis)selling, big bonuses and as a result too many “too big to fail”s. The rise of regulations and technology innovation within the industry has resulted in a course correction. The customer is now getting some attention. And more recently customers’ behaviour is.

Applying behavioural sciences to study how customers make their financial decisions has seen some recent…
2019-04-26 00:00:00 Read the full story.
Interest Score: 1.0458, Positive Sentiment: 0.1394, Negative Sentiment 0.1859

4 practical applications of automation for online businesses

One could argue that machine automation is a slightly controversial technology adopted by industries of the modern era. The most common argument against its implementation in business is the fear that it could mean millions of jobs will be taken over by computers in the next few years. Which could potentially mean that the humans replaced would be left without job opportunities? But, whatever your opinion or view on the topic may be, it’s impossi…
2019-04-26 08:31:06+00:00 Read the full story.
Interest Score: 1.0316, Positive Sentiment: 0.2986, Negative Sentiment 0.1900

Juniper CEO Trumpets New Products But Investors Aren’t Buying Story Yet

“The bets we have made on technology are going to pay off; they start to pay off this year,” asserted Rami Rahim, chief executive for networker Juniper Networks (JNPR – Get Report) , in an interview on Friday morning.

Juniper reported first-quarter results on Thursday after the close that were slightly better than expected, but still showed pressure on revenue from slowdowns in its two biggest markets — cloud computing operators and telecom ser…
2019-04-26 14:17:31-04:00 Read the full story.
Interest Score: 1.0244, Positive Sentiment: 0.1773, Negative Sentiment 0.2167

Google’s AI Fact-Checker Will Scrutinize Banking Sites for Supportive Data

In an era of increased scrutiny of “facts” and “fake news,” some media websites have implemented what’s called a “fact checker.” Fact checkers verify the claim that an article or web page is making with external resources like other articles, PDFs, or web-documented evidence. Now, Google is starting to deploy fact checkers on certain search engine results pages (SERPs).

Some fact-checking organizations, like PolitiFact, will manually verify claims. However, much of the new generation of fact checking is powered by artificial intelligence. With so much content being published across the web every day — and “fake news” a pernicious problem in the media industry — expect these AI-enabled fact checkers to become even more common.
2019-04-22 00:03:07+00:00 Read the full story.
Interest Score: 0.9882, Positive Sentiment: 0.1938, Negative Sentiment 0.1163

Human Interaction Beats A.I. in Getting Your First Job

As a Rutgers professor and a 30-year marketing veteran, this is prime season for me to collaborate with college students graduating. This includes developing their brand narrative, preparing for interviews and securing their first job after graduation.

With each passing year, the recruiting process becomes more technologically advanced and an increasingly challenging hi-tech jigsaw puzzle that graduates need to solve.

No matter how innovative the hiring process has become with the infusion of artificial intelligence (A.I.) and Applicant Tracking Systems (ATS), human interaction (HI)will ultimately determine the candidates that get hired. This is something every college graduate, members of the tech-driven Generation Z, needs to know.
2019-04-26 00:00:00 Read the full story.
Interest Score: 0.9580, Positive Sentiment: 0.3345, Negative Sentiment 0.0912

Mathematics for Artificial Intelligence – Linear Algebra

Machine Learning, Neural Networks and Artificial intelligence are big buzzwords of the decade. It is not surprising that today these fields are expanding pretty quickly and are used to solve a vast amount of problems. We are witnesses of the new golden period of these technologies. However, today we are merely innovating. Majority of the concepts used in these fields were invented 50 or more years ago. In fact, all ideas are based heavily on math.

This is the most troubling part for the people who are trying to get into the field. The most usual question that I get on the meetups and conferences is “How much math should I know?”. Those were all the people with software development background trying to get into the data science world. Actually, this was the question that I asked myself long ago when I started my journey through this universe. One of the big challenges was blowing off dust from old college books and trying to remember stuff that was forgotten during the years in the software development industry.
2019-04-29 00:00:00 Read the full story.
Interest Score: 0.9532, Positive Sentiment: 0.1014, Negative Sentiment 0.0507

6 ways to address anonymity and privacy in conversational AI

Artificial intelligence is a great way to help you develop your business online. Most online companies use chatbots for communication. Chatbots play a crucial role in your daily business communication. They open up opportunities for businesses to communicate with their customers openly.

The big question is: how can the security of customer and business personal information be ensured when artificial intelligence communication is used? Well, this…
2019-04-24 08:51:20+00:00 Read the full story.
Interest Score: 0.9516, Positive Sentiment: 0.1477, Negative Sentiment 0.1969

$4 billion in ad spend shows growth in Google’s responsive search ads, Instagram story ads

Intelligence and ephemeral social are two of the biggest drivers of evolving ad spend, according to a Q1 digital advertising benchmark report this week from Marin Software. Unsurprisingly, the intelligence piece comes from Google, and the social comes from Facebook.

Marin says that there’s been a major increase in search marketers using Google’s responsive search ads, which are still theoretically in beta despite having launched almost a year ag…
2019-04-26 00:00:00 Read the full story.
Interest Score: 0.9409, Positive Sentiment: 0.1680, Negative Sentiment 0.0336

Compensation data site PayScale valued at $325M after new private equity investment

As discussions swirl about gender pay disparities and more information becomes available about salary practices, PayScale keeps on growing. Now the Seattle-based compensation data company has a new financial backer to help continue its momentum.

PayScale today announced a majority private equity investment from Francisco Partners, a 19-year-old technology-focused firm based in San Francisco. The amount invested was undisclosed, but PayScale said…
2019-04-25 13:01:24-07:00 Read the full story.
Interest Score: 0.9376, Positive Sentiment: 0.2221, Negative Sentiment 0.0740

We All Work for Facebook

When I was a kid, in the pre-internet days of the 1980s, my screen time was all about Nickelodeon. My favorite show was “You Can’t Do That on Television.” It was a kind of sketch show; the most common punchline was a bucket of green slime being dropped on characters’ heads. It was pretty dumb. It was also created by professional writers, actors, and crew, who were decently paid; many of them belonged to unions.

Today, my kids don’t have much interest in that sort of show. For them, TV mostly means YouTube. Their preferred channels collect memes and jokes from various corners of the internet. In a typical show, a host puts on goofy voices to read posts from r/ChoosingBeggars, a Reddit message board devoted to customers who make absurd demands of Etsy vendors. It’s significantly funnier than “You Can’t Do That on Television,” I admit. It also involves no unionized professionals.
2019-04-26 00:00:00 Read the full story.
Interest Score: 0.9286, Positive Sentiment: 0.1639, Negative Sentiment 0.2117

In AI, ML & Cloud Platform Moves, Intel Bins 5G Modems, Buys Omnitek

By Alex Davies, Editor of Riot (Rethink IoT)

The Intel restructuring continues, with the venerable but slightly troubled semiconductor slinger now officially trashing its 5G smartphone modem plans, and buying another FPGA firm – Omnitek. Both moves are intended to renew its focus on the data center market, but the modem cancellation is the second embarrassing failure in the mobile world for Intel, and adds to the pile of dead IoT-focused project…
2019-04-26 14:20:33+00:00 Read the full story.
Interest Score: 0.9018, Positive Sentiment: 0.1919, Negative Sentiment 0.3262

How Warby Parker is Using AI and Augmented Reality to Change Retail

Since its launch in 2010, Warby Parker has always had lofty objectives. From offering designer eyewear at accessible prices to distributing a pair of glasses to someone in need for every pair of glasses sold, the company has been a disruptor and is now valued at more than a billion dollars. To stay ahead of the competition, it uses the latest artificial intelligence and augmented reality technology to provide customers with an extraordinary experience.

One way that Warby Parker revolutionized the optical industry was through its Home Try-On Program where customers select several frames online to be shipped to them so they could try them on at home for five days. Their new solution for trying on frames leverages the camera capabilities of the iPhone X. Warby Parker introduced Virtual Try-On that allows you to try on virtual frames through augmented reality, a technology that overlays computer-generated images (frames) onto real-world images (your face). The app uses Apple’s Face ID that uses 30,000 invisible dots and an infrared image to create a map of a customer’s face. With the specific details of your face tracked, the tool can recommend frames best suited for your face. This enhances the experience of the previous digital try-on system because it gives a 3-D preview of your faces and uses augmented reality to place the frames.
2019-04-26 14:10:55+00:00 Read the full story.
Interest Score: 0.8992, Positive Sentiment: 0.1860, Negative Sentiment 0.0620

Microsoft to equip UAE company’s new HQ with ‘virtual AI persona’ in expansion of cloud strategy

Microsoft is outfitting a striking new office building just outside of Dubai in the United Arab Emirates with a suite of futuristic artificial intelligence capabilities, including a virtual AI persona for employees and visitors that takes care of tasks such as scheduling meetings, finding parking spaces and ordering lunch.

The project is an example of Microsoft’s broadening cloud strategy, which in recent years has grown to include Internet of Things tools for industries such as construction, manufacturing and retail. Microsoft is working with John…
2019-04-23 13:00:37-07:00 Read the full story.
Interest Score: 0.8967, Positive Sentiment: 0.1237, Negative Sentiment 0.0000

The demise and rebirth of the ethical engineer – TechCrunch

Whatever happened to the ethics of engineering?

We’ve seen just one disastrous news story after another these past few years, almost all knowable and preventable. Planes falling out of the sky. Nuclear power plants melting down. Foreign powers engorging on user data. Environmental testing thrashed. Electrical grids burning states to the ground.

The patterns are not centered around discipline or nationality, nor do these events share an obvious social structure. Facebook machine learning programmers mostly don’t hang with German VW automotive engineers or Japanese nuclear plant designers. They weren’t taught at the same schools, nor share the same textbooks, nor read the same journals.

Instead, there is a more fundamental thread that binds these disparate and heinous stories together: the increasingly noxious alchemy of complexity and capitalism. Only through a rejuvenation of safety culture can we hope to mend the pair.
2019-04-28 00:00:00 Read the full story.
Interest Score: 0.8893, Positive Sentiment: 0.1253, Negative Sentiment 0.4634

Intel CEO: Headwinds in China’s PC market are making everyone more cautious

Intel CEO Bob Swan said in an earnings conference call that the company lowered its revenue expectations for the full year due to “headwinds” among customers in China and elsewhere as buyers reduce their orders.

He said the company is in the midst of an ambitious transition to expand its market reach into everything from chips for automotive tech to high-performance supercomputer chips. But it has been a bumpy transition.

Swan talked about the …
2019-04-25 00:00:00 Read the full story.
Interest Score: 0.8787, Positive Sentiment: 0.1690, Negative Sentiment 0.1352

Self-driving cars: bigger road safety, less privacy

How can we increase road safety? Bounteous efforts and resources are vital to increase road safety, and the industry has proposed solutions such as big data and autonomous vehicles. Since most car accidents are due to the human factor and not so much technical failure, it sounds logical to replace the human factor by software.

Possible solution: self-driving cars. The first challenge is to build a self-driving system that can perceive the road better than the best human driver, which won’t happen soon. Current maps are also not accurate enough. But what does autonomous/self-driving mean?
2019-04-29 01:49:16.988000+00:00 Read the full story.
Interest Score: 0.8648, Positive Sentiment: 0.1017, Negative Sentiment 0.3815

Big Data Gives Us New Insights Into Influencer Reach

Influencers are rapidly transforming the digital marketing landscape. Nearly two out of five plan to increase their influencer marketing budgets substantially in the coming year. Only 7% of respondents in a recent poll spent less than $10,000 on influencer marketing. However, many brands are still struggling to cultivate their ideal influencer marketing strategy. The savviest marketers are leveraging big data to formulate better insights into the ROI of their influencer campaigns and identify ways to optimize them better. Todd Crawford, the cofounder of Impact Radius discussed this in a previous interview.

“The challenge there is to have an easy, turn-key way to have those partners working with you, and have them track and measure the activity they’re doing,” said. There are plenty of ways to use big data to bolster the effectiveness of your influencer strategy. Here are some ideas to consider.
2019-04-23 18:18:48+00:00 Read the full story.
Interest Score: 0.8457, Positive Sentiment: 0.3993, Negative Sentiment 0.0235

The future of flying? AI that shames you into being a better passenger

The first biometric airport terminal is already up and running, thanks to Delta’s collaboration with U.S. Customs and Border Protection, the Transportation Security Administration, and Hartsfield-Jackson Atlanta International Airport. Similar systems are now operational at Dubai International Airport, at least for first- and business-class passengers. While groundbreaking, these systems—powered by artificial intelligence—are early exemplars of the emerging technological transformation of airport and airline operations.
2019-04-24 09:00:25 Read the full story.
Interest Score: 0.8436, Positive Sentiment: 0.2812, Negative Sentiment 0.3187

Tableau, Mapbox, Exasol, and Alteryx contribute $4.3 million to fight malaria in sub-Saharan Africa

Nearly half of the world’s population is at risk of malaria, according to the World Health Organization, and there were close to 219 million confirmed cases and an estimated 435,000 deaths in 2017. Sub-Saharan Africa bore the brunt of the outbreaks and their aftermath — about 92% and 93% of cases and deaths, respectively, were concentrated in African regions. That’s because mosquito species in Africa, some of which transmit malaria through their …
2019-04-25 00:00:00 Read the full story.
Interest Score: 0.8386, Positive Sentiment: 0.2096, Negative Sentiment 0.1572

How to Present Data to a Non-Technical Audience

When you’re presenting data analytics or any technical information to a non-technical audience, it can be difficult. You have to think about the components of a good presentation in general, but also how to simplify complex subjects and information and make them resonate with your target audience.

If you’re someone who understands data analytics well or is highly technical, it can be especially challenging to know how to make your p…
2019-04-22 19:45:39+00:00 Read the full story.
Interest Score: 0.8252, Positive Sentiment: 0.1737, Negative Sentiment 0.1303

Breaking Bard: Using Microsoft AI to unlock Shakespeare’s greatest works

kespeare and his work. They know it doesn’t end well for Verona’s most famous couple.

In fact, the challenge is finding something no one knows about the world-famous, 300-year-old play. That’s where artificial intelligence can help.

Phil Harvey, a Cloud Solution Architect at Microsoft in the UK, used the company’s Text Analytics API on 19 of The Bard’s plays. The API, which is available to anyone as part of Microsoft’s Azure Cognitive Services, can be used to identify sentiment and topics in text, as well as pick out key phrases and entities. This API is one of several Natural Language Processing (NLP) tools avail…
2019-04-23 00:00:00 Read the full story.
Interest Score: 0.7985, Positive Sentiment: 0.2303, Negative Sentiment 0.3071

These Top 3 Email Metrics Tools Are Made Possible By Big Data Analytics

Big data is changing the nature of email marketing. Although data analytics has played a vital role in split-testing campaign variables, there are other benefits as well.

One way that big data is helping in email marketing is improving team collaboration. New tools have made it easier for teams to coordinate with each other on their email marketing strategies.

New Tools Rely on Big Data to Boost Email M…
2019-04-24 20:07:26+00:00 Read the full story.
Interest Score: 0.7938, Positive Sentiment: 0.4907, Negative Sentiment 0.2165

Nominations open for IAPA’s Top 25 Analytics Leaders program

The Institute of Analytics Professionals of Australia (IAPA) is accepting nominations for the 2019 IAPA Top 25 Analytics Leaders program.

The peak body for analytics professionals ran the program for the first time last year, naming Matt Kuperholz, Chief Data Scientist, PwC and Sandra Hogan, Group Head, Customer Analytics, Origin Energy as Australia’s top two analytics leaders.

Nomination forms and further information is available from the IAPA…
2019-04-24 09:53:34+10:00 Read the full story.
Interest Score: 0.7800, Positive Sentiment: 0.7020, Negative Sentiment 0.0390

Top 8 Productivity Tracking Apps That Leverage Big Data

Big data is playing a vital role in productivity optimization in virtually every industry. Countless new tools rely on big data to streamline productivity.

Big Data Makes Productivity Technology a Thing of the Future

Assuming you have a solid business model in place, your team’s productivity will correlate closely with your overall success. Productive teams are able to get more done every day. They’re a…
2019-04-23 12:41:58+00:00 Read the full story.
Interest Score: 0.7779, Positive Sentiment: 0.4494, Negative Sentiment 0.1901

Invest In Analytics To Improve Your Production Line

Manufacturing is a more powerful and essential part of our industries and economies than ever. But setting these vital enterprises up for maximum success and unrivaled innovation takes information — and that means gathering data.

If you represent a manufacturing concern and you’re wondering about the benefits of capturing and analyzing operational data, you’ve come to the right place. Investing in analytics isn’t something to take lightly, but c…
2019-04-24 20:46:42+00:00 Read the full story.
Interest Score: 0.7600, Positive Sentiment: 0.3585, Negative Sentiment 0.1864

How big data fits in with eCommerce Customer Engagement

In the field of marketing, the term “engagement” is thrown around a lot. Just about every type of campaign will be aimed at boosting “engagement rates.” For instance, success in social media marketing is often measured by engagement indicators such as likes, shares, comments, and click-through-rates.

There is no doubt that building meaningful connections with your customers leads to profitable relationships that can help your business grow. But …
2019-04-23 15:21:22+00:00 Read the full story.
Interest Score: 0.7346, Positive Sentiment: 0.3126, Negative Sentiment 0.0469

 

 


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