The simple fact that technology is always evolving often casts IT in the role of principal change agent within a company. That can rub other departments the wrong way. People may perceive tech leaders as implementing change for the sake of change, or worse yet, change for the sake of technology.
Too often, when CIOs attempt to focus on using IT to optimize business costs, stakeholders see it as a defensive move. You’ll hear the heads of other business units mutter, “IT can’t find enough money to cut in its own budget, so they’re coming after ours.”
Specialized know-how is a good thing; it’s what makes your company valuable. You focus on what you do best and deliver that superior service to your clients. But when you don’t have the in-house expertise you need, that’s when panic can set in, especially when you’re staring down the barrel of a high-stakes IT project.
We had a lot of fun in Part 1, exploring Automatic Speech Recognition (ASR) and brainstorming ways it can help business harness unstructured data to work smarter. But now we’re moving into the nitty-gritty. What’s technically possible, and who’s currently doing it best?
Most companies are drowning in phone calls, social media posts, emails, audio and video. Like podcasts, all this unstructured data contains good info. It’s trying to tell you something, but it’s trapped in a form that doesn’t easily lend itself to data analysis. Artificial intelligence helps you liberate your data, organize it, and put it to use.
5 minute read If you haven’t read Part 1 where we discuss why it’s time to start looking for the Dynamics GP/SL off-ramp, please head over and check out that post. (We’ll wait.) If you are venturing on without reading it, well then, good on you for being so decisive!