News

News

• March 06, 2019 06 Mar'19

  Google AI division open sources GPipe neural network library

  Google AI, the AI research and development team at Google, made GPipe a framework for building large-scale and accurate deep neural networks open source.

• February 27, 2019 27 Feb'19

  Trump's AI executive order glosses over data privacy, funding

  Trump released his AI executive order two weeks ago, and researchers are continuing to analyze its potential impact on the industry. One thing is certain: AI is about to change.

• February 26, 2019 26 Feb'19

  DataRobot AI platform to get boost from Cursor acquisition

  The DataRobot acquisition of Cursor will see DataRobot incorporate unified search and data collaboration tools into DataRobot's automated machine learning platform.

• February 22, 2019 22 Feb'19

  Google Cloud Speech-to-Text, Text-to-Speech see upgrades

  Google upgrades its cloud-based speech and text products with higher accuracy levels, new WaveNet voice options and support for several new languages.

• February 14, 2019 14 Feb'19

  IBM Watson OpenScale: AI control, monitoring for any cloud

  OpenScale, a new IBM AI product, enables organizations to monitor their AI models. Global services provider KPMG is using OpenScale to help power its own AI monitoring tool.

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• February 12, 2019 12 Feb'19

  IBM's Project Debater loses debate but shows off AI prowess

  While Project Debater, the IBM AI debate system, lost the live IBM Think 2019 debate, it impressed those who watched the event. Maybe next time, Debater.

• January 30, 2019 30 Jan'19

  IBM Project Debater crowdsources to boost its AI, NLP skills

  Project Debater, an IBM AI system, creates viewpoints with the help of people who type in arguments on topics. That may also help drive future business uses.

• January 11, 2019 11 Jan'19

  Intel AI chip aims to boost inference for AI users

  Adding to the Intel Nervana chip line, Intel and Facebook are expected to launch in the second half of 2019 a new processor designed to speed up inference.

• December 10, 2018 10 Dec'18

  Formula E technology driven by data analytics and AI

  Formula E racing team EVR hopes to drive wins and innovation with a new partnership with Genpact, a professional services firm that offers an AI and analytics platform.

• December 07, 2018 07 Dec'18

  Impact of AI on business still more limited than some hoped

  Most businesses have yet to feel the full effect of AI, as enterprises labor to determine where and under what conditions the technology can most effectively be deployed.

• December 06, 2018 06 Dec'18

  Oracle-DataFox acquisition could expand users' AI options

  Oracle AI capabilities are likely to see a boost, as the vendor now has access to machine learning algorithms that can automatically distill useful information from large bodies of text.

• November 14, 2018 14 Nov'18

  An AI project should start with a question, not an insight

  Avis' former director of BI and analytics talks about the kind of analytics capabilities and business problems you need to have before launching your next AI project.

• November 06, 2018 06 Nov'18

  Lessons learned from 3 AI use cases

  Sharing use cases is a form of storytelling, and that may be a key to proving just how valuable AI can be for companies, according to Gartner's Erick Brethenoux.

• September 24, 2018 24 Sep'18

  Wayfair's computer vision technology gets your style

  At Wayfair, the digital and physical worlds continue to converge thanks to computer vision and mixed reality tech, enabling customers to get a better feel for products before they buy.

• September 21, 2018 21 Sep'18

  Create and apply a successful enterprise chatbot strategy

  For enterprises looking to introduce chatbots, tips range from testing the bot in many different channels, planning for conversational limitations, and studying successful bots.

• September 20, 2018 20 Sep'18

  Credit card giants step up AI fraud detection

  While Capital One and Mastercard delve into AI and machine learning to detect credit card fraud, IBM joins the ranks of AI vendors with AI bias detection tools.

• August 13, 2018 13 Aug'18

  O'Reilly machine learning survey: Enterprises aim for maturity

  A new survey finds companies are using fairness and bias as metrics to evaluate the success of a machine learning model.

• July 31, 2018 31 Jul'18

  Google's Edge TPU breaks model inferencing out of the cloud

  Google's Edge TPU is a force multiplier to compete against the likes of Amazon, IBM and Microsoft, and to attract next-gen app developers.

• July 30, 2018 30 Jul'18

  Where the IBM Project Debater AI system may be headed

  Unveiled during a live debate in June, IBM's Project Debater will be partially released in 2019 and could have real-life applications, particularly in education.

• June 14, 2018 14 Jun'18

  Quantum computing applications creep forward

  Tech vendors and users are moving forward on quantum computing tools and research. While still futuristic, developments bear watching, Forrester's Brian Hopkins says.

• June 08, 2018 08 Jun'18

  Databricks platform additions unify machine learning frameworks

  Databricks' new products take aim at simplifying machine learning integration -- something that has become increasingly difficult, as the number of tools has multiplied.

• May 30, 2018 30 May'18

  New data science platforms aim to be workflow, collaboration hubs

  Oracle's acquisition of DataScience.com is shining a spotlight on workbench-style platforms designed to centralize advanced analytics work by teams of data scientists.

• May 18, 2018 18 May'18

  New Intel toolkit OpenVINO supports deep learning on CPUs

  A new developer kit from Intel seeks to lower the bar for doing deep learning on CPUs and other types of chips to extract more intelligence from video.

• March 27, 2018 27 Mar'18

  Artificial intelligence in business strategies, uses

  SearchEnterpriseAI delivers news, tips and strategic advice on applying artificial intelligence technologies in the enterprise to improve products, services and operations.

• March 02, 2018 02 Mar'18

  Expert panel warns developers to beware of AI bias

  Despite new development tools to build AI applications, developers must be wary of bias creeping into their systems.

• March 02, 2018 02 Mar'18

  AI experts advise developers on dev tools

  New tools help developers build better, smarter AI apps, as machine learning toolkits have progressed exponentially over the last few years.

• December 14, 2017 14 Dec'17

  AI experts: Business alignment key to AI implementation

  For enterprises to benefit from AI tools and techniques, experts at AI World stressed that technology needs to be grounded by a tight focus on how it can improve business goals.

• November 30, 2017 30 Nov'17

  The brain-computer interface comes of age?

  Two entrepreneurs on the forefront of emerging tech describe their progress on developing a brain-computer interface for commercial use.

• October 26, 2017 26 Oct'17

  Oil and gas IT leaders drilling for AI benefits

  In an industry not known for being on the tech cutting edge, some are exploring the business value of artificial intelligence.

• August 15, 2017 15 Aug'17

  AI washing muddies the artificial intelligence products market

  Artificial intelligence products are the future and many tech vendors are AI washing to trick potential customers into thinking they're buying leading-edge software.

• July 31, 2017 31 Jul'17

  AI analytics expected to rise, along with management complexity

  Growing use of artificial intelligence tools by businesses was the focal point of analytics and data management trends predicted by a group of IT consultants and vendor execs.

• July 31, 2017 31 Jul'17

  AI technologies affect all corners of business, IT

  Think before you act on artificial intelligence technologies to ensure that your efforts to become a "cognitive business" lead you in the right direction.

• July 18, 2017 18 Jul'17

  AI taking jobs isn't the problem; how it will change them is

  The combination of AI and jobs will change the way workplaces look in the future, experts say. People will have to focus more on their areas of strength.

• July 17, 2017 17 Jul'17

  Without communication, machine learning for data science goes nowhere

  The chief data officer's next challenge may be to find storytellers who can explain machine learning for data science to decision-makers in the organization.

• July 10, 2017 10 Jul'17

  Creative AI looks to take machines into uncharted territory

  Artificial intelligence and creativity may not seem like the most natural pairing, but some AI developers are trying to show that machines can actually replicate much of human creativity.

• July 07, 2017 07 Jul'17

  Developing AI apps free from bias crucial to avoid analytics errors

  Biased data samples or model development practices can derail any company interested in using AI tools and diminish the technology's return on investment.

• June 30, 2017 30 Jun'17

  Businesses must prepare for uncertainty of AI systems

  AI software is garnering a lot of hype, but many companies are going to have to rethink how they interact with analytics tools in order to capitalize on the true potential of AI.

• June 21, 2017 21 Jun'17

  Data skeptic Cathy O'Neil explains why we need to regulate algorithms

  In part two of this SearchCIO Q&A, mathematician and data skeptic Cathy O'Neil argues it's time to establish a national safety board for algorithms.

• June 21, 2017 21 Jun'17

  Mathematician warns against weapons of 'math' destruction

  In this SearchCIO Q&A, author and data scientist Cathy O'Neil talks about the danger of trusting algorithms too much.

• June 05, 2017 05 Jun'17

  How Facebook uses deep learning models to engage users

  At Facebook it's all about user engagement, and to accomplish this, the company relies heavily on deep learning algorithms to tailor its products to the interests of individuals.

• May 31, 2017 31 May'17

  Panel: What we call AI today doesn't live up to hype

  Modern AI tools fall short of true artificial intelligence, and this could have implications for how the technology is used by enterprises in the near future.

• May 23, 2017 23 May'17

  The Roomba is an early use case for cloud robotics

  iRobot is making a play for the smart home, and it's using a cutting-edge technology to do so.

• May 18, 2017 18 May'17

  Deep learning vs. machine learning: The difference starts with data

  Deep learning may share some characteristics of traditional machine learning, but experienced users say it's really in a class by itself when it comes to predictive-model design and output.

• April 05, 2017 05 Apr'17

  The power, promise and controversy of AI applications

  Artificial intelligence apps provide invaluable insights and assistance for a host of business processes, and today's uses are just the tip of the iceberg.

• March 21, 2017 21 Mar'17

  IBM's cloud dreams soar on the wings of AI, open source

  Hoping to play catch-up with its web services archrivals, IBM has rolled out a raft of products and services fueled by AI and open source.

• March 20, 2017 20 Mar'17

  Cloud-based robotics could be an AI game changer

  Gill Pratt, CEO at the Toyota Research Institute, explains why it's better for robots to have their heads in the clouds.

• March 15, 2017 15 Mar'17

  Enterprises describe how they get value from their data science team

  Simply hiring a data scientist doesn't mean you'll get the full benefits of data science. Several enterprises describe how they made the practice pay off for them.

• March 10, 2017 10 Mar'17

  Experts urge caution when evaluating marketing claims for AI tools

  Last year saw a ton of hype around emerging AI tech, but as they penetrate further into the enterprise, experts are urging caution.

• November 22, 2016 22 Nov'16

  Creative projects leave people guessing about future impact of AI

  A push is underway to write creative AI algorithms that can engage in music, film and design projects. So far, they have delivered mixed results.

• November 11, 2016 11 Nov'16

  Investigating the moral machine

  Edmond Awad and Sohan Dsouza of the MIT Media Lab talk about their latest project and how they're hoping it sparks a conversation about morals and autonomous machines.

• November 10, 2016 10 Nov'16

  Tom Davenport: Getting started on enterprise AI

  In this Q&A, analytics expert Tom Davenport offers pointers for CIOs on setting an enterprise AI strategy.

• September 09, 2016 09 Sep'16

  Industry responds to artificial intelligence technology development

  Responses to a White House request for information on AI software show stakeholders are still split between worry and enthusiasm for this fast-developing technology.

• July 20, 2016 20 Jul'16

  The future of AI apps will be delivery as a service

  AI systems are generating huge hype right now, which makes it imperative for businesses to understand how the technology can be deployed most effectively.

• June 28, 2016 28 Jun'16

  Look for cognitive systems in IT services marketplace

  The systems that will form the backbone of future business applications will be available in the cloud, says consultant Judith Hurwitz.

• March 31, 2016 31 Mar'16

  Deep machine learning drives Loop AI quest

  Loop AI Labs' Bart Peintner discusses the transformational impact of deep learning technology, artificial intelligence, and how these tech trends will reshape industries.

• January 25, 2016 25 Jan'16

  Beyond gaming, GPU technology takes on graphs, machine learning

  The Blazegraph database runs on graphics processing units to speed graph traversals. Machine learning in the form of Google TensorFlow is also a GPU target.

• December 04, 2015 04 Dec'15

  Despite progress, the future of AI will require human assistance

  Two artificial intelligence luminaries talk about the future of AI -- what's possible and what's still a ways off.

• October 07, 2015 07 Oct'15

  How IBM Watson, cognitive analytics will impact IT jobs

  IBM Watson continues to push the envelope for what can be done with technology and some fear the cognitive computing system will push IT pros out of a job.

• March 10, 2015 10 Mar'15

  It's back to the future for machine learning applications of big data

  Machine learning techniques are far from new. What is new, however, is the number of parallelized data processing platforms available for applications of big data.