Website URL:
     * United States

   IBM®
     * Site map

   Watson Blog
     * Watson
     * About
     * Offerings
     * Products
          + Watson OpenScale
          + Watson Assistant
          + Watson Discovery
          + Compare & Comply
          + Watson Machine Learning
          + Watson Knowledge Catalog
          + Watson Studio
          + Discovery News
          + Knowledge Studio
          + Natural Language Understanding
          + Personality Insights
          + Speech to Text
          + Text to Speech
          + Tone Analyzer
          + Visual Recognition
     * Use Cases
          + AI for customer service
          + Natural language processing
          + Build a chatbot
          + Explainable AI
          + AI for enterprise search
          + AI for contract governance
     * Stories
     * With Watson
     * Learn
          + Developers
          + Dev tools
          + Data and privacy

Let’s Talk About Talent

   By Daniel Hernandez | 2 minute read | July 21, 2020
   [1096_Data_and_AI_Virtual_Forum_BlackBox_Leadspace_Purple-990x498.jpg]

   Like   Print

   3

   A few years ago, I spent considerable energy convincing customers to consider AI’s power in business. Now I dedicate most of my time helping clients scale their thinking and plans beyond initial projects. That means confronting challenges like talent skills and scarcity, dubious trust in AI, and data readiness.

   Today, I want to focus on the problem around talent, which centers on two issues:

   1) People often lack the tools to do their job.
   2) People waste precious time doing mundane, repetitive work.

   The saying “AI won’t replace managers, but managers who use AI will replace those who don’t” might
   sound cliché. But I firmly believe it to be true. The best managers I know seek out opportunities for AI to differentiate their business and create well-thought-out talent plans that bridge skill and capacity gaps.

   Here are five plays I see those managers pursue:

   #5: Ain’t no “I” in team
   Bad managers optimize talent management at the individual level. They do not consider team dynamics. The best managers recognize that AI is multi-disciplinary, think about team design and composition, and tap into communities in and outside of their organization.

   #4: Build better plays
   Think outside the box. Not only should managers consider how to leverage AI to make their employees
   more effective, but they need to think about how they can build better relationships with universities to hire top talent. Good managers will build better hiring plays, and therefore attract and retain top talent.

   #3: Call an audible
   Sometimes, you just have to call an audible. Think about trick plays. In order to be successful, you
   actually need to make AI boring. You need to make it invisible by embedding it within your workflows.
   That way you’re taking advantage of AI, but, similar to electricity, e-mail, or the internet, it’s no longer being treated like a shiny new object. Instead, it’s an integrated and essential part of your everyday business. It’s boring.

   #2: Who’s your lousy manager?
   Generally, a talent problem is an issue is with management. People don’t suddenly get smarter or
   stupider overnight. It’s usually misalignment, which has nothing to do with talent. The best managers
   know alignment is essential to success, which brings me to…

   #1: Align to an objective
   A lack of alignment to a well-defined, well-understood objective will result in a failed AI project. You can have the hardest-working employee or team, but if you’re not aligned to an objective, it doesn’t matter. You won’t succeed because you aren’t working towards the same goal. The best managers align their team to an objective, let their teams disagree, and then ultimately commit.

   Want to know more about how we are helping our clients bridge the talent gap? I encourage you to check
   out our Data and AI Virtual Forum event series, which is completely dedicated to helping you overcome
   your talent, trust, and data challenges.

   Access the talent event on-demand here.
   Register for the July 29th event here.
   Register for the September 16th event on data here.

   Like  3   Print

   Read More

   [1159_Watson_Blog_GM_Financials_Leadspace_v1-265x158.jpg]

   GM Financial uses IBM Watson Assistant to develop a secure and powerful AI assistant

   by Bob Beatty

   [2020_06_22_Blog_Leadspace_v2-265x158.jpg]

   Emerge smarter with Watson: How conversational AI keeps us connected in a post-COVID-19 world

   by Brenna McCarthy

   [2020_06_11_AIOps_Blog_Leadespace-265x158.jpg]

   How Watson AIOps helps IT teams address incidents in real time

   by Matthias Funke
     _____________________________________________

   Tags

   Data and AI Forum IBM Data IBM Watson

   Categories

   AI for the Enterprise News and Updates
   Most Popular Articles
   

   IBM and Mubadala bring Watson to the MENA region

   by James O'Brien
   

   Chef Watson has arrived and is ready to help you cook

   by Richard Brandt
   

   ROSS and Watson tackle the law

   by Anthony Sills
     * Contact
     * Privacy
     * Terms of use
     * Accessibility

   ?>