Enterprise artificial intelligence (AI)

Machine learning use case to ID unhappy employees

Telus International CIO Michael Ringman analyzes the machine learning use case he launched to curb high attrition rates in call centers. Continue Reading

By

• Nicole Laskowski, Senior News Director

How AI and machine learning help in upskilling employees

The rapidly changing technology landscape requires companies to change their approach to L&D and deliver more individualized learning. Here's how AI and machine learning may help. Continue Reading

By

• George Lawton

The Wild Wild West of conversational design

Sociologist and conversation analyst Bob Moore and artist and UX designer Raphael Arar -- researchers at IBM Research -- are working at the forefront of an emerging field: Conversational UX design. ... Continue Reading

By

• Brian Holak

'Virtual humans' pick up on social cues

Carnegie Mellon University's Justine Cassell talks about her efforts to turn software into 'virtual humans.' Continue Reading

By

• Nicole Laskowski, Senior News Director

How to make AI agents better conversationalists: Context is key

IBM's Bob Moore and Raphael Arar are committed to designing AI agents that actually understand -- and retain -- context. The aim? To make AI exchanges more like conversations. Continue Reading

By

• Brian Holak

Is the future of robotic process automation intelligent?

Intelligent process automation may eventually supplant traditional robotic process automation as AI propels the technology away from automating rote tasks. Continue Reading

By

• John Moore, Industry Editor

Conversational UX design: What it is and who's paving the way

Two researchers at IBM aim to make AI systems converse more like humans. Here, they discuss the emerging field of conversational UX design and the expertise that goes into it. Continue Reading

By

• Brian Holak

Workplace 'mindfulness' as coping mechanism for AI disruption

Two tech titans investing in the AI tools that automate jobs are also sinking money into workplace mindfulness programs aimed at helping employees become better at being human. Continue Reading

By

• George Lawton

Fostering human-machine collaboration is a CIO's job

Uncover why human-machine collaboration was singled out in a Forrester Research report that says it's time for enterprises to embrace AI in the workplace -- and IT has a special role to play. Continue Reading

By

• Brian Holak

How CIOs can support black box testing techniques

Ben Clark, Wayfair's chief architect, offers advice to CIOs on how to knowledgeably support AI endeavors in the enterprise, including the use of black box testing. Continue Reading

By

• Nicole Laskowski, Senior News Director

CIOs won't own enterprise machine learning -- they'll enable it

How can CIOs support an enterprise machine learning initiative? They can start by building a data lake. Continue Reading

By

• Nicole Laskowski, Senior News Director

Onus is on CIOs to address limitations of artificial intelligence

Recognizing the limitations of artificial intelligence is step No. 1 for CIOs aiming to reap its benefits, according to AI luminaries at the recent EmTech Digital conference. Continue Reading

By

• George Lawton

Computer vision, machine learning skills help fuel surge in AI jobs

A report by the world's No. 1 job site, Indeed, finds there are more AI jobs than ever, but job-seeker interest is leveling out. What accounts for the dwindling enthusiasm among job hunters? Continue Reading

By

• Brian Holak

CIOs dissect what makes their artificial intelligence projects tick

AI has been described as the ultimate disruptor. These three IT leaders are prepping for the shake-up with artificial intelligence projects designed to harness that potential. Continue Reading

By

• Nicole Laskowski, Senior News Director

Voice computing goes to work with Microsoft Teams addition of Cortana

Microsoft is integrating Cortana into its Teams collaboration platform. Will it be the baby step voice computing needs to gain traction in the enterprise? The jury is out. Continue Reading

By

• Brian Holak

Machine learning use cases, touch-text-talk on Box CIO's to-do list

Intuitive interfaces, automating menial work so people can focus on big ideas, finding AI and machine learning use cases -- Box CIO Paul Chapman's to-do list is awesome. Continue Reading

By

• Mary K. Pratt

Artificial intelligence and machine learning forge path to a better UI

Carnegie Mellon University's Chris Harrison talks about the future of the user interface in this episode of 'Schooled in AI.' Continue Reading

By

• Nicole Laskowski, Senior News Director

From phishing attempt circumvention to AI, new CIO has a big job

As the new CIO at Snow Software, Alastair Pooley is taking on a range of priorities, from helping the business to recognize a phishing attempt to exploring AI for customer support. Continue Reading

By

• John Moore, Industry Editor

Intel debuts new nGraph compiler for neural networks models

Built on open source software, Intel's new nGraph DNN compiler takes aim at Nvidia's advantage by making it easier to run neural networks on different kinds of hardware. Continue Reading

By

• George Lawton

What technical challenges face voice AI technology? There are many

Conversational AI will change enterprise communications -- eventually. In the meantime, Gartner analyst Svetlana Sicular details the areas where voice AI technology needs to grow. Continue Reading

By

• Brian Holak

IT must prep for enterprise AI software

AI technology is growing fast, and end-user computing administrators need to be prepared for the multitude of benefits it can bring IT and employees. Continue Reading

By

• Maribel Lopez, Lopez Research

Conversational AI: Start by enlisting the big vendors

It's time to develop a conversational AI strategy, according to Gartner analyst Svetlana Sicular. Her advice: Stay focused on the business case and lean on the AI platform vendors. Continue Reading

By

• Brian Holak

AI tools fall into the hands of end users

Machine learning capabilities have made applications smarter, but IT pros are still in the early days of learning AI skills. Luckily, some tools only require the knowledge of an end user. Continue Reading

By

• Alyssa Provazza, Editorial Director

Machine learning algorithms: New tool for fighting cyberthreats?

As hackers use increasingly sophisticated tech to tap into corporate data, machine learning platforms can help companies fight fire with fire by detecting cyberthreats early on. Continue Reading

By

• Mekhala Roy

Watson's Law: IBM preaches data stewardship as A.I. advances

At IBM's Think conference, executives discussed the importance of protecting and managing data as artificial intelligence offerings like Watson grow and touch more information. Continue Reading

By

• Rob Wright, Senior News Director

Jeanne Meister on the future of work and how AI is disrupting HR

In this Q&A, HR analyst Jeanne Meister explains how AI will transform the way companies deal with talent and how HR departments can transform disruption into a competitive edge. Continue Reading

By

• Diann Daniel, Executive Editor

Natural-language processing technology boosts BI at Penn Medicine

Natural-language processing technology lets Penn Medicine tap unstructured data, improving its analytics and patient care. Success required a multidisciplinary effort. Continue Reading

By

• Mary K. Pratt

Gartner issues four-part prescription for data and analytics leaders

Fake facts, discrimination, complexity and illiteracy are four challenges CIOs and data experts must overcome to reap the value of data analytics. Also, forget about bimodal IT. Continue Reading

By

• Linda Tucci, Industry Editor -- CIO/IT Strategy

ISACA: Build security into artificial intelligence hardware

A new paper on how to fight off malicious AI recommends adding security features to AI chips. ISACA's Rob Clyde explains why that's a good idea. Continue Reading

By

• Nicole Laskowski, Senior News Director

Companies ill-equipped to combat malicious AI

Companies are on the precipice of being attacked by malicious AI but lack the skills and tools needed to put up a basic defense, according to ISACA's Rob Clyde. Continue Reading

By

• Nicole Laskowski, Senior News Director

'Intelligent tutoring systems' use AI to boost student IQ

Intelligent tutoring systems that track how a student learns become smarter and more useful with practice, according to Carnegie Mellon University's Ken Koedinger. It's all about the data. Continue Reading

By

• Nicole Laskowski, Senior News Director

IBM's cloud strategy homes in on developers

To boost its profile in IaaS, IBM's cloud strategy has shifted focus from CIOs to developers. Whether the multipronged appeal to developers will pan out remains an open question. Continue Reading

By

• George Lawton

Blue Jeans integrates AI-powered transcription technology

Blue Jeans has integrated an AI transcription service powered by Voicera's virtual assistant, Eva, while Slack deepened its GitHub integration to support developer collaboration. Continue Reading

By

• Katherine Finnell, Senior Site Editor

Deep learning projects: Cloud-based AI or dedicated hardware?

Are deep learning projects part of your AI agenda this year? Here's how to evaluate the tradeoffs between using cloud-based AI infrastructure versus dedicated hardware. Continue Reading

By

• George Lawton

What is 'ground truth' in AI and deep learning?

'Ground truth' is the bedrock of AI and deep learning. Carnegie Mellon professor Tom Mitchell explains the term and its significance with an example from healthcare. Continue Reading

By

• Linda Tucci, Industry Editor -- CIO/IT Strategy

Survey: Customer service chatbots aren't crowd-pleasers -- yet

A recent survey by Chatbots.org found that less than half of consumers find chatbots effective. What does that mean for CIOs trying to integrate the technology? Continue Reading

By

• Brian Holak

What do the new AI chips mean for CIOs? Homework, for starters

New AI chips promise to put deep learning initiatives in better reach of enterprises. But they aren't applicable to all AI projects and, in some cases, are inferior to CPUs and GPUs. Continue Reading

By

• George Lawton

Gartner's AI 'value chain' offers schema for assessing an AI project

Analyst Bern Elliot encourages CIOs to approach AI the way a financial advisor approaches an investment portfolio -- with a mix of high-risk and low-risk projects. Continue Reading

By

• Nicole Laskowski, Senior News Director

Hyperscale providers bet big on cloud AI

AI cloud services have emerged as yet another battleground for the hyperscale providers, as they entice data scientists and developers to train their models on their platforms. Continue Reading

By

• Trevor Jones, Senior Site Editor

Relentless AI cyberattacks will require new protective measures

AI cyberattacks won't be particularly clever; instead, they'll be fast and fierce. Carnegie Mellon University's Jason Hong explains in this episode of 'Schooled in AI.' Continue Reading

By

• Nicole Laskowski, Senior News Director

Deep learning algorithms power startup's beauty database

Deep learning algorithms are changing how we drive cars and navigate outer space. What about saving our skin? Silicon Valley startup Proven Beauty has a plan. Continue Reading

By

• Nicole Laskowski, Senior News Director

Slow to gain traction, AI apps on the verge of explosion

From chatbots ("Can I help you?") to killer bots ("I'll be back."), artificial intelligence runs the gamut of applications and emotions like no other technology. It's been nearly 70 years since AI first came into consciousness with humankind, yet only recently has it made serious inroads into business and consumer markets, mainly riding the coattails of its offshoot, machine learning.

AI's other offspring -- deep learning, cognitive computing, image recognition and natural language processing -- show plenty of promise but have barely left the womb. Yet market research and industry foot soldiers tell us AI is on the cusp of explosive growth in practically every major industry.

Along those lines, the February issue of Business Information opens with our editor's note, which provides a good dose of common sense and advice for businesses not to throw caution to the whirlwind of hyperbole surrounding AI. Companies anxious to apply AI, particularly machine learning, to their operations for fear they'll fall behind the competition, must first do their homework and separate fact from fiction, all the while keeping in mind that implementing AI apps is difficult and requires time, expense and the right kind of data.

Our cover story takes the issue of good data one step further and examines the very real dangers that bias in machine learning data sets can create. Data scientists have their work cut out for them identifying and pinpointing bias, especially since nearly all data inherently contains bias. In another feature, we look at the usefulness of today's AI tools, which, except for some niche AI apps, are not very useful, but they come with a whole lot of promise as a soon-to-be transformative force in business operations.

Also in this issue, a major components manufacturer uses AI apps to transform its assembly line process, cognitive computing can help improve a doctor's bedside manner, the benefits of AI and machine learning entice healthcare organizations to move to the cloud and humankind's range of reactions to AI's unlimited potential parallel those of the atomic age.

 Continue Reading

Hype surrounding AI technologies nears atomic proportions

Amid the infiltration of artificial intelligence into business and society, spawning fears from some of Armageddon, humankind's greatest AI threat may very well come from within. Continue Reading

By

• Ron Karjian, Industry Editor

Big data throws bias in machine learning data sets

AI holds massive potential for good, but it also amplifies negative outcomes if data scientists don't recognize data biases and correct them in machine learning data sets. Continue Reading

By

• Bridget Botelho, Editorial Director, News

Neurala claims 'lifelong deep neural nets' don't forget

Boston startup Neurala says it has developed deep neural networks that can learn on the fly. Neurala's COO Heather Ames explains. Continue Reading

By

• Nicole Laskowski, Senior News Director

Machine vision makes paper a thing of the past for insurers

The insurance industry is buried in paper-based processes. Former MetLife CIO Gary Hoberman aims to change that with a platform that runs on AI and machine vision. Continue Reading

By

• Nicole Laskowski, Senior News Director

Critical elements CIOs need to build an AI team

Top-notch recruiters, organizational structures that engender trust, and attention to ethics are key to ensuring your AI team succeeds. Continue Reading

By

• George Lawton

IT Priorities 2018: Network upgrades, automation, cloud make the cut

The TechTarget IT Priorities 2018 survey finds that networking, automation and cloud projects will keep IT pros busy. IoT and AI lag, but that doesn't mean they aren't happening. Continue Reading

By

• Brian Holak

The 2018 CIO budget plan: The goal is lofty, but is the money there?

Digital transformation and underlying technologies -- cloud, AI, DevOps -- dominate CIO strategies this year, but it's unclear whether CIO budgets are up to the task. Continue Reading

By

• Mary K. Pratt

Among AI use cases that matter to CIOs, ITSM ranks high

AI use cases for your ITSM program abound, but early adopters caution that vendor offerings are immature and will require hands-on testing for best results. Continue Reading

By

• George Lawton

CIOs need an AI infrastructure, but it won't come easy

From picking vendors to upskilling staff, folding an AI infrastructure into enterprise architectures isn't simple. Experts at the recent ReWork Deep Learning Summit zero in on the issues. Continue Reading

By

• George Lawton

Digital phenotype introduces new kinds of data to clinical setting

John Brownstein of Boston Children's Hospital explains how his team is 'putting the public back in public health' by mining troves of nonclinical data culled from social media. Continue Reading

By

• Nicole Laskowski, Senior News Director

Not all types of artificial intelligence are created equal

Among the many types of artificial intelligence, unsupervised machine learning will test our capacity to trust machines. Continue Reading

By

• George Spalding, Pink Elephant

Prepare now for an AI-assisted ITSM strategy

What does it mean to have an AI-assisted ITSM strategy? Pink Elephant's Jennifer Wels outlines seven areas where AI can be applied to ITSM. Continue Reading

By

• Jennifer Wels, Pink Elephant

Trying to wrap your brain around AI? CMU has an AI stack for that

In this episode of 'Schooled in AI,' Andrew Moore, dean of the School of Computer Science at Carnegie Mellon University, talks about the benefits of the AI stack. Continue Reading

By

• Nicole Laskowski, Senior News Director

'Patient journey' propels hospital's digital transformation

The chief innovation officer at Boston Children's Hospital explains how digital technologies are changing the 'patient journey' for the better. Continue Reading

By

• Nicole Laskowski, Senior News Director

How to use machine learning to build a predictive algorithm

Machine learning is an invaluable tool for solving business problems, but don't jump into it for predictive analytics without understanding these important factors. Continue Reading

By

• Bridget Botelho, Editorial Director, News

Wayfair's chief architect talks AI-driven innovation, impactful IT

Wayfair sells home furnishings, but under the covers, it's a tech juggernaut. Chief Architect Ben Clark explains how AI-driven innovation propels the business. Continue Reading

By

• Mary K. Pratt

Ten Windows 10 Fall Creators Update features to know

Microsoft introduced some significant changes to Windows 10 in the Fall Creators Update. The My People app, for example, lets users pin contacts to their task bars. Continue Reading

By

• Robert Sheldon

Synthetic data could ease the burden of training data for AI models

Sometimes it's better to manufacture training data for machine learning models than it is to collect it. Continue Reading

By

• Nicole Laskowski, Senior News Director

CES 2018 for CIOs: Rise of the AI voice assistant class

What happens in Vegas doesn't stay there -- not at CES 2018, where AI voice assistants and sentient objects were ubiquitous and the crossover to workforces was obvious. Continue Reading

By

• Linda Tucci, Industry Editor -- CIO/IT Strategy

Dun & Bradstreet's chief data scientist: Don't ignore these eight AI topics

Anthony Scriffignano's list of AI topics to watch in 2018 highlights the benefits and complications the widespread application of artificial intelligence technology will have on the enterprise in the coming year. Continue Reading

By

• Nicole Laskowski, Senior News Director

CIO plans for AI projects in 2018 push the envelope

SearchCIO interviews with leading IT executives suggest continued strong investment in AI projects -- and an important role for CIOs in developing an enterprise-wide AI strategy. Continue Reading

By

• Nicole Laskowski, Senior News Director

CIO goals and IT resolutions for 2018

Seven CIOs plus one chief digital officer give us a glimpse of their technology plans for the new year. Continue Reading

By

• TechTarget CIO Editorial Staff

Highs and lows of the digital innovation process

The digital innovation process has made organizations more agile, but the shift could present its own set of IT challenges for modern companies. Genpact's Gianni Giacomelli explains why. Continue Reading

By

• Mekhala Roy

Echo Show

The Echo Show is a smart speaker enabled with a 7-inch touchscreen by Amazon featuring Alexa, the company’s AI assistant. Amazon introduced the Echo Show in May 2017. Continue Reading

By

• TechTarget Contributor

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. Continue Reading

By

• Nicole Laskowski, Senior News Director

The future of workplace structure: Cross-functional teams, AI impact

The digital workplace, including the CIO shop, is moving toward cross-functional collaboration, greater openness to outside contributors and the uptake of artificial intelligence. Continue Reading

By

• John Moore, Industry Editor

Former Apple CEO discusses AI, leadership and experience marketing

Former Apple and Pepsi CEO John Sculley discusses how disruptive technologies and leadership styles are influencing industries far beyond IT. Continue Reading

By

• Ben Cole, Executive Editor