• Home
  • About Us
  • Contact Us
  • Privacy Policy
  • Special Offers
Business Intelligence Info
  • Business Intelligence
    • BI News and Info
    • Big Data
    • Mobile and Cloud
    • Self-Service BI
  • CRM
    • CRM News and Info
    • InfusionSoft
    • Microsoft Dynamics CRM
    • NetSuite
    • OnContact
    • Salesforce
    • Workbooks
  • Data Mining
    • Pentaho
    • Sisense
    • Tableau
    • TIBCO Spotfire
  • Data Warehousing
    • DWH News and Info
    • IBM DB2
    • Microsoft SQL Server
    • Oracle
    • Teradata
  • Predictive Analytics
    • FICO
    • KNIME
    • Mathematica
    • Matlab
    • Minitab
    • RapidMiner
    • Revolution
    • SAP
    • SAS/SPSS
  • Humor

ProBeat: Don’t get FOMO over AI

August 25, 2018   Big Data
 ProBeat: Don’t get FOMO over AI

Companies of all shapes and sizes descended on Mill Valley, California this week to discuss and learn from each other about using artificial intelligence at VentureBeat’s inaugural Transform 2018 conference. Everyone had a story to tell, pitches to make, and insights to share. While the general consensus was positive — everyone wants to say they are using cutting-edge and transformative technology — there was also some cautionary language, if you listened carefully.

Of course, AI isn’t a one-size-fits-all strategy and everyone has their own definition for the term. Some see it as a broad umbrella that encompasses everything from simple machine learning to robot consciousness, others rely on characterizations specific to their industry, and everyone else just uses it to generate hype.

That’s why it was refreshing to hear how AI solutions aren’t necessarily the best, or simply aren’t always the most cost-effective. If you’re not taking ROI into account when jumping on the AI bandwagon, you’ve already lost.

There was certainly a ton of hype at Transform. But there were also meaningful results, whether you agree that AI is the correct descriptor or not.

Do your research. Figure out what your peers are doing. Be wary and listen carefully — AI can sink your business just as quickly as it can transform it.

Maybe you can leverage something as simple as a common algorithm, but that doesn’t necessarily mean you need a dedicated department for algorithms. Maybe you aren’t developing something as complex as self-driving cars, but you can still use computer vision for your onboarding process.

It’s OK if your company isn’t going all-in on AI. It’s not OK if your company is blindly adopting AI.

Whether it’s AI or social or mobile or whatever the latest trend, just make sure your teams are doing their due diligence.

ProBeat is a column in which Emil rants about whatever crosses him that week.

Let’s block ads! (Why?)

Big Data – VentureBeat

Don’t, FOMO, Over, ProBeat
  • Recent Posts

    • Bad Excuses
    • Understanding CRM Features-Better Customer Engagement
    • AI Weekly: Continual learning offers a path toward more humanlike AI
    • The Easier Way For Banks To Handle Data Security While Working Remotely
    • 3 Ways Data Virtualization is Evolving to Meet Market Demands
  • Categories

  • Archives

    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
© 2021 Business Intelligence Info
Power BI Training | G Com Solutions Limited