AI and Careers: Predicting Where The Jobs Will Be
Experts agree that artificial intelligence and automation will impact jobs -- eliminating many and creating some, too. Here's what a group of experts had to say during a Congressional hearing about just how AI will impact tomorrow's workforce.
Top IT Priority: Cloud. AI, Not So Much
IT organizations are focused on the cloud right now with automation and big data analytics also ranking pretty high on their to-do lists. AI, machine learning, and blockchain are down very low on the list of priorities.
AI Challenge: Achieving Artificial Empathy
As AI is woven deeper into different types of software and business processes, the success of it, particularly from customer experience and personalization standpoints, depends on its ability to recognize emotion and act accordingly. Will machines be able to achieve artificial empathy? Have they already? Following are some of the challenges and opportunities.
The Boring Truth About High-Value AI Projects
McKinsey Global Institute examined hundreds of artificial intelligence use case to figure out the ones that yielded the highest value for organizations. That big-picture vantage point yield one surprising and boring truth about the value of AI.
No More IT Islands
IT professionals no longer fit into the buckets of specialization that marketers and HR staffers love.
Get an AI Head Start: Buy It
CIOs want to invest in AI projects, but some just aren't ready to build it out themselves. So Oracle and SAP are both offering AI technologies to enterprise customers to get them started.
4 Types of Machine Intelligence You Should Know
Cognitive computing, AI, machine learning, and deep learning are often used to describe the same thing, when they actually differ. We explain what the differences are so you can better understand how the pieces fit together.
Informatica CEO: Enterprises in 2018 Focus on AI, Data Catalog
Data management cloud and enterprise software vendor Informatica has seen a surge in interest for data catalog as organizations grapple with the looming GDPR deadline and data privacy issues. Here's what else the company's CEO sees as big trends in data for 2018.
Emerging Technologies Remain a Gamble in 2018
IT leaders face a tornado of vendor news and business user demands relating to emerging technologies such as blockchain, AI, and augmented reality. Those leaders need to put those technologies and the business need in perspective.
Ethical Tech: Myth or Reality?
Technology innovation is accelerating and so are the impacts of technology on society. As machine intelligence gets baked into more products and services, as more human tasks become automated, and as more industries are disrupted, the tech industry needs to think differently. Here's why.
Your First AI Project: Avoid Customer-facing Chatbots
Your competitor has a shiny new AI-driven chatbot, so shouldn't you be developing one, too? Not necessarily. Here's why these customer-facing bots may not be the best first project for your AI program, and what you should choose instead.
Big Data Maturity: You're Not As Mature As You Think
Big data is past the hype stage, but are organizations really past the challenges and getting the most value out of big data technologies? Not so much. Here's a look at the state of big data maturity and the challenges that remain.