on August 02, 2018 AI IBM PowerAI PowerAI solutions in New Zealand

8 AI topics you should not ignore in 2018

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In a recent interview with Nicole Laskowski (Senior News Writer for TechTarget) Anthony Scriffignano, Dunn & Bradstreet's chief data scientist, suggested that IT Management needs to come to grips with an emerging AI related vocabulary. Thinking linguistically is just one of a list of AI topics Scriffignano said we should keep an eye on in 2018.

PowerAI from OSS

Here are the eight AI topics he believes will make headlines in 2018:

1. Dealing with Shadow AI. Be prepared to deal with AI projects that pop up expectantly from all manner of departments across the enterprise – IT will not be the only ones in your organisation to instigate an AI project.
  1. 2. Regulations like the General Data Protection Regulation (GDPR), which includes a "right to explanation" mandate, will impact machine learning models, how will you deal with the impact?
  2. 3. Cybercriminals will no doubt use AI to sharpen their cyberattacks - how will you stay ahead of the game? (See Cognitive Security)
  3. 4. Thanks to Artificial Intelligence, the ability for IoT devices to communicate with and even learn from each other is coming, will present new ways to delight customers but also new security and data privacy obstacles for us in IT.
  4. 5. Cognitive computing is not your run-of-the-mill AI. Think of cognitive computing as a new field of AI. Scriffignano urges us to pay attention to how cognitive develops in 2018 and not use it as catch-all term for Artificial Intelligence.
  5. 6. Collaborate without commoditising. Most organisations won’t build an end-to-end AI solution, the tendency is to use platforms like IBM’s PowerAI and services that can provide functionality to the business, creating a new kind of partnership between organisations. "If everything is formed as a service and ubiquitous and discoverable, then there's a tendency for things to get commoditised”. How will you collaborate without commoditising?
  6. 7. Talent will continue to be a challenge. New skills are required to operate today's data-driven companies, a need that's exacerbated by AI. You will still need curators, analysts, modellers statisticians and methodologists. "But, increasingly, we need governance experts and problem formulators and detectives and visionaries and storytellers and diplomats," Scriffignano said.
  7. 8. Watch out for autonomous AI.  Autonomy means an AI agent is disconnected from a human or human-made mechanism that is telling it what to do. "Every AI agent has a goal, something it's trying to achieve," Scriffignano said. "If it's autonomous and the environment changes, it needs to have the ability to modify its goal" to be successful. But AI autonomy could lead companies into dangerous territory.

Read the full interview here

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Would you like to learn more about Artificial Intelligence and Cognitive Solutions? Email me - mclancy@oss.co.nz 

Mike Clancy

An advocate of innovative thinking and productive interaction to affect real change, I also bring exposure from local and international markets and understand what is required for successful modern business practices.