A big week for conferences and announcements for Gartner, Oracle and Google, with the conversation primarily focused around the importance of AI. For the purposes of this newsletter we’ll stay focused on enterprise, but Google’s new consumer offerings have the opportunity to set the standard for automated assistants truly becoming mainstream.

Read the latest developments This Week In AI:

1. Gartner Top 10 Strategic Technology Trends for 2018

Gartner hosted their 2017 Symposium in Orlando this week and unveiled their research on the top 2018 strategic IT budget priorities. The number one priority? AI Foundation. “The ability to use AI to enhance decision making, reinvent business models and ecosystems, and remake the customer experience will drive the payoff for digital initiatives through 2025.”

2. Oracle Adds AI Development Service to Platform Offerings

Oracle announced a suite of tools to help their customers build their own AI applications at their annual conference, OpenWorld. The offerings will include common frameworks, libraries and development tools available as a platform service.

3. BP Invests in Artificial Intelligence

Non-technology businesses continue investing in AI as we’ve shared in prior newsletters. This week BP announced a partnership with Beyond Limits, to augment how BP locates and develops reservoirs, produces, and refines crude oil and markets and supplies refined products. Our VP of Services Steve Elmore also blogged this week about the opportunities for AI to monitor drone data for the oil and gas industry.

4. Accenture Augments Human Capital With Artificial Intelligence To Stay Competitive

Another great case study, this time from Accenture, on how to integrate AI into the workforce and repurpose existing staff to higher-purpose tasks. “The headcount in the department actually grew as employees were repurposed to higher level and higher touch advisory services. Revenue grew as business service offerings increased.”

5. Overcoming the Challenges of Machine Learning Model Deployment

AI is a business initiative and the system experts of that business need to be in the loop for the design stage of developing solutions. “Companies that succeed at becoming AI-driven also find ways to reduce the resources required to develop models while giving sufficient attention to how they are deployed.”

Photo credit: Gartner

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John Shaw

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