News

News

• 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.