At its AWS Summit in San Francisco this week, Amazon Web Services announced a series of new services and GA’d a few from Re:Invent but the theme coming out at the conference was clearly on broadening its ability to accelerate your organization’s digita…
Amazon recently launched a new and unique type of store, after beta testing it for the better part of a year. The store, dubbed Amazon Go, promises consumers no checkout lines: Everything you grab from the shelves is tracked and charged to your Amazon …
In volatile market conditions, conservative industrial giants must move faster to survive. And this digital transformation of traditional manufacturing firms cannot — must not — simply be about making existing industrial processes more efficient. They …
The National Retail Federation’s Big Show attracted tens of thousands of attendees . Far from resigning themselves to conquest by market places they are determined to make the right investments to thrive and survive. Three years ago we found retail CIO…
When you get over the fear of a robot taking over your job – because if you see our robots today they are still pretty dumb – your next big concern is how these new workers are going to perform. It’s not just a training question, it&#…
I attended AdExchanger’s semi-annual Programmatic I/O conference last week to absorb the latest in industry talk and get a pulse check on the health and wellness of the programmatic ecosystem. This show was illuminating in that I found signs of both en…
Building AI applications is hard work, but cloud vendors are making it easy by exposing simple-to-call, pay-as-you-use APIs. Want to add real-time speech recognition to your app? There’s an API for that. Want to recognize faces in an image? There…
It is the best of times, and the worst of times to be a data scientist (apologies to Charles Dickens). It is the best of times, because, like never before, we have access to data, computing power, and rapidly evolving tools to create insights and applications with the potential to revolutionize business and the world […]
Every year at Black Hat, the buzzword factory is in full swing. Last year the word of the day was Artificial Intelligence or Machine Learning (or in the off chance you met with someone who knew what they were talking about they would call it “AI or ML”). The year before that, the word of […]
2004 – Tim Lee Berner Semantic Web OWL and RDF introduced to address Semantic Web and also Knowledge Representation. This really calls for BigData technology that was still not ready. https://www.w3.org/2004/01/sws-pressrelease 2006 – Hadoop Apache Hadoop is an open source software framework for storage and large scale processing of data-sets on clusters of commodity […]
That is exactly what Forrester wants to find out – is there something behind the AI and Cognitive Computing hype? What my research directors ask, “Is there a there there?”
AI and Cognitive Computing have captured the imagination and interest of organization large and small but does anyone really know how to bring this new capability in and get value from it? Will AI and Cognitive really change businesses and consumer experiences? And the bigger question – WHEN will this happen?
It is time to roll-up the sleeves and look beyond conversations, vendor pitches and media coverage to really define what AI and Cognitive Computing mean for businesses, are businesses ready, where they will invest, and who they will turn to to build these innovated solutions, and what benefits will result. As such, Forrester launched its Global Artificial Intelligence Survey and is reaching out to you – executives, data scientists, data analysts, developers, architects and researchers – to put a finger on the pulse. We would appreciate you take a little time out of your day to tell us your point of view.
Simply click on this like to participate. https://forrester.co1.qualtrics.com/SE/?SID=SV_3K02TU4Q9934Z1j
As a thank you, you will receive a complimentary summary report of the findings.
If you have a great story to share that provides a perspective on what AI and Cogntivive can do, what benefits is has provided your company, and can share you learnings and best practices, we are also recruiting for interviews.
Simply contact our rock star researcher, Elizabeth Cullen, to schedule 30 minutes. firstname.lastname@example.org
We hope to hear from you!
You can’t turn anywhere without bumping into artificial intelligence, machine learning, or cognitive computing jumping out at you. Our cars brake for us, park for us, and some are even driving us. Our movie lists are filled with Ex Machina, Her, and Lucy. The news tells about the latest vendor and cool use of technology, minute by minute. Vendors are filling our voicemail and email with enticements. It’s all so very cool!
But cool doesn’t build a business. Results do.
Which brings me to the biggest barrier companies have in adopting artificial intelligence. Companies are asking the wrong questions:
- What is artificial intelligence (or insert: machine learning or cognitive computing)?
- Where can I use artificial intelligence?
- What tool can I buy?
These questions put artificial intelligence into the traditional analytic processes and technology adoption box. These questions assume you will begin from the same starting point as you did for big data. You are wrong: Artificial intelligence starts with the problem to solve and works backward.
To succeed at artificial intelligence you need to ask the right questions: