Quick Poll: What's the Status of AI, Machine Learning in Your Organization?


(Image:  Ivelin Radkov/Shutterstock)

(Image: Ivelin Radkov/Shutterstock)

Artificial intelligence and machine learning are dominating the headlines right now, and if my email inbox is any indication, many companies are embarking on programs to embed these technologies into the products and services they offer.

Chances are that your organization is either implementing AI/machine learning now, or looking at doing it in the next year or two. Maybe you are even part of the effort to create or identify pilot projects for this technology.

To help you get started, AllAnalytics wrapped up its first A2 Academy of 2017 this month, taking community members through what they needed to know about artificial intelligence and machine learning. We began with a session about real-world use cases for AI, looked at how to identify projects within your organizations, talked about AI from the consumer perspective, discussed AI use cases from the IT point of view, and wound things up with an examination of just what AI programs mean for us as a society, ethically and morally.

All these sessions are available in an on-demand format to members of the AllAnalytics community. (You just need to register for the site to access them.)

We're also wondering just where you and your organization stand in terms of implementing this technology. So we have put together an AllAnalytics Quick Poll. Please let us know about your organization's efforts by taking a minute of your time to answer our single-question poll. We look forward to hearing from you.

Jessica Davis, Senior Editor, Enterprise Apps, Informationweek

Jessica Davis has spent a career covering the intersection of business and technology at titles including IDG's Infoworld, Ziff Davis Enterprise's eWeek and Channel Insider, and Penton Technology's MSPmentor. She's passionate about the practical use of business intelligence, predictive analytics, and big data for smarter business and a better world. In her spare time she enjoys playing Minecraft and other video games with her sons. She's also a student and performer of improvisational comedy. Follow her on Twitter: @jessicadavis.

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Re: Companies Take Slow Adoption of AI and Machine Learning
  • 7/4/2017 12:43:17 PM
NO RATINGS

'I'm almost guessing Goodgle will fight the EU for some time even in the face of the stiff penalties to be forthcoming for violations.' To be sure they will push the envelope, testing the resolve of the regulator and the politicians because they have the resources to do so. Beyond that, there is a climate of challenging the regulations in the tech world. Look at the exploit of Uber. The only cause of pause is potential criminal complaints, not civil.

Re: Companies Take Slow Adoption of AI and Machine Learning
  • 7/4/2017 9:49:45 AM
NO RATINGS

And it will be very interesting to see how companies like Google come into compliance with the new regulations beginning enforcement in less than a year. I'm almost guessing Goodgle will fight the EU for some time even in the face of the stiff penalties to be forthcoming for violations.

Re: Companies Take Slow Adoption of AI and Machine Learning
  • 6/30/2017 11:36:09 PM
NO RATINGS

I've wondered if that's the angle for some. It seems like a ploy for some -- I always hope for better. We shall see.

Re: Companies Take Slow Adoption of AI and Machine Learning
  • 6/30/2017 1:40:58 PM
NO RATINGS

@kq4ym, do good with all of that data is admirably professed but the more realistic is not to do harm. Google tries to foster a brand of a good citizen, but its ambitions has come into conflict at times. The EU is quick to impose strong regulations unlike in the U.S., I would venture to say that doing good is more marketing slogan than a goal.

Re: Companies Take Slow Adoption of AI and Machine Learning
  • 6/29/2017 11:17:52 AM
NO RATINGS

I'm certain there are plenty of industries and companies that may find benefit in AI and machine learning, but based on the marketing onslaught, it's clear it's mostly vendor push (not customer pull) where AI and ML are concerned. And the push hasn't been subtle at all.

Re: Companies Take Slow Adoption of AI and Machine Learning
  • 6/29/2017 9:44:20 AM
NO RATINGS

And then the concern is using all that data for "good" and just what that might mean. Google has been getting into big trouble with the EU lately, even though the begainning premise of the company is to do good and not bad things. One might wonder when good turns into bad stuff in companies when greed rears it's head?

Re: Companies Take Slow Adoption of AI and Machine Learning
  • 6/28/2017 5:48:51 PM
NO RATINGS

@bkbeverly, I am glad that you point out the exposure to risk that is inherent with any technology. Human and financial risk ultimately dictates whether advancements are at an acceptable point to justify full implementation.

Re: Companies Take Slow Adoption of AI and Machine Learning
  • 6/28/2017 5:41:14 PM
NO RATINGS

Louis, you make a good point about the progress not translating to most mainstream businesses. Applicability is crucial. Even if the technology may eventually be of benefit, the state of development may not be at a point to be viable.

Re: Companies Take Slow Adoption of AI and Machine Learning
  • 6/28/2017 12:40:08 PM
NO RATINGS

@Louis,

 

Agreed. AI and ML are best suited for specific types of industries where decisions do not involve high risk to human life or financial loss. To use an economics prism, the supply may exceed demand at this time. Sure AI and ML have potential, but they have to be deployed wisely. I could see Google and other companies that collect search engine data using AI amd ML because when I log into Instagram or You Tube, the types of videos that I have been interested in previously will be presented to me.  That is a good use of AI and ML.  Or if I am building a crime pattern search engine, then yes I need AI and ML. In these two examples, AI and ML are collecting behavior data and using the patterns to predict similar patterns. But beyond these types of implementations, no one who wants to keep a paycheck  is going to jump out there.  So for the immediate future, I think that the supply of AI and ML solutions will be greater than the demand. And for those industries that use these tools, they wioll likely build their own solutions or just buy a supplier.

Re: Companies Take Slow Adoption of AI and Machine Learning
  • 6/27/2017 10:02:43 PM
NO RATINGS

@Louis,  Re: "Mainstream companies are having enough of a challenge adopting analytics to any meaningful degree,"

It's even a challenge for the analytical companies that are building these products to adopt or "eat their own dog food".   I've worked for some major tech companies with the top analytical software that struggle to get their own departments to progress.  

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