Companies in all industries must stay up to date with the latest tech to survive in this digital world. This is especially true in the case of machine learning (ML), which has the potential to transform the way businesses process and use their data. While ML has a number of useful applications in the business world, applying it to business intelligence (BI) insights can help you optimize your processes and make even better decisions. Thirteen members of Forbes Technology Council shared some creative ways to combine business intelligence with machine learning to produce the best results for your company. One of the most unique ways to combine business intelligence and machine learning is the identification of fraud indicators.

Companies in all industries must stay up to date with the latest tech to survive in this digital world. This is especially true in the case of machine learning (ML), which has the potential to transform the way businesses process and use their data. While ML has a number of useful applications in the business world, applying it to business intelligence (BI) insights can help you optimize your processes and make even better decisions. Thirteen members of Forbes Technology Council shared some creative ways to combine business intelligence with machine learning to produce the best results for your company. One of the most unique ways to combine business intelligence and machine learning is the identification of fraud indicators.

A number of this week's milestones in the history of technology demonstrate society's reactions to new technologies over the years: A discussion of AI replacing and augmenting human intelligence, a warning about the abundance of misinformation on the internet, and government regulation of a mass communication platform, suppressing free speech in the name of the public interest.

Earlier this year, Pooya Abka attended the 2018 Consumer Electronics Show and walked away feeling validated. CES was all about Google Assistant this year and he knew he was definitely on to something in the artificial intelligence space. You see, Abka is the founder of Idemandu, an AI agent that learns and adapts to your needs over time. As Abka explained to me, we "created the first AI agent that can understand customers' service needs over voice, connect them to vetted service providers instantly, and learn about their personal preferences with tim

Would you consider a job as an "automation ethicist"? And such titles may soon be coming to an organization near you. The constellation of cognitive computing technologies emerging -- artificial intelligence, machine learning, deep learning, natural language processing -- requires a workforce of skills that can't quite be imagined these days. Importantly, it may be opening a raft of new career opportunities.

There can be no doubt, artificial intelligence (AI) helps defend government and business systems from cyberattacks, but conversely, AI systems can be used to augment attacks against government and corporate, even SMB systems. For TechRepublic and ZDNet, I'm Dan Patterson and it's a pleasure today to speak with Mark Gazit, the CEO of ThetaRay. One of the biggest targets for cybercriminals, and cybercriminals deploying AI solutions, is the financial service industries. I wonder if you could help us understand how financial crime is being transformed by technology and artificial intelligence.

We usually think of surveillance cameras as digital eyes, watching over us or watching out for us, depending on your view. But really, they're more like portholes: useful only when someone is looking through them. Sometimes that means a human watching live footage, usually from multiple video feeds. Most surveillance cameras are passive, however. They're there as a deterrence, or to provide evidence if something goes wrong.

From Amazon's Alexa on more than 10 million countertops and Siri in every iPhone to GM implementing IBM's Watson into OnStar and Tesla's autopilot using cloud-based learning, Artificial Intelligence, in various forms, is reaching a point of cultural ubiquity. This tipping point has provoked a range of responses from thought-leaders and visionaries: Elon Musk warned of the existential risk of AI, and Richard Branson posited that the extreme wealth generated by the technology should be used to fund a Universal Basic Income. Less discussed at this point, however, has been how everyday consumers conceptualize, feel about, and use AI. To fill this gap in the current conversation, The Integer Group conducted a four-phase research study into consumer adoption of, and attitudes toward, AI. The research included a quantitative survey of more than 3,500 households and 15 in-home ethnographies with consumers in the U.S.

Like it or not, the machines are claiming new territory. And by "machines" I mean artificial intelligence (AI). Our business and personal lives are touched by AI every day. That friendly lady who took your information and looked up your account when you called your insurance company? That helpful service on Netflix that recommends new shows to watch?

There's no doubt that artificial intelligence will revolutionize the jobs picture. One technologist predicts robots will replacehalf of all jobs in the next decade. A PwC study says 38% of jobs in the U.S. are at high risk of being replaced by A.I. over the next fifteen years.