1 month, 11 days ago

From Darling To Workhorse: Programmatic’s Growing Pains And What Comes Next

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…

1 month, 12 days ago

AI APIs – Dead Simple AI

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…

4 months, 18 days ago

Unlock The Business Value Of Data Science, AI, And Advanced Analytics

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 […]

4 months, 19 days ago

Black Hat Buzzword Bingo 2017

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 […]

4 months, 20 days ago

2004 to 2017 Convergence of Big Data, Machine Learning, Semantic Web, Graph Analytics, High Performance Computing – All These and Yet Big Data Analytics Sucks

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 […]

1 year, 6 months ago

AI And Cognitive Computing — What’s The Hype All About?

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. ecullen@forrester.com

We hope to hear from you!

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1 year, 8 months ago

The Top 6 Questions To Succeed At Artificial Intelligence

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:

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1 year, 8 months ago

The Top 6 Questions To Succeed At Artificial Intelligence

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:

Read more

1 year, 10 months ago

300 Years Plus of Crusade – Tryst in The Quest of Semantic Web and A.I driven Reasoning

Chronology of Development of Hyperbolic Dirac Net (HDN) Inference.  https://en.wikipedia.org/wiki/Thomas_Bayes From Above Link:- 1. 1763. Thomas Bayes was an English statistician, philosopher and Presbyterian minister who is known for having formulated a specific case of the theorem that bears his name: Bayes’ theorem.  Bayes’s… Continue Reading →

1 year, 10 months ago

Bioingine :- Multivariate Cognitive Computing Platform – Distributed Concurrent Computing by Dockerized Microservices

Employ of Dockerized Apps Opens a Vistas of Possibilities with Hadoop Architecture. Where, the Hadoop’s traditional data management architecture is extended beyond data processing and management into Distributed Concurrent Computing.   Data Management (Storage, Security,  MapReduce based Pre-processing) and Data Science (Algorithms) Decoupled. Microservices driven Concurrent Computing :- Complex Distributed Architecture made Affordable Conceptual View […]

2 years, 1 month ago

Semantic Technology Is Not Only For Data Geeks

You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.

It begins with a seemingly innocent set of questions:

“Is there a better way to master my data?”

“Is there a better way to understand the data I have?”

“Is there a better way to bring data and content together?”

“Is there a better way to personalize data and insight to be relevant?”

Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.

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2 years, 1 month ago

Semantic Technology Is Not Only For Data Geeks

You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.

It begins with a seemingly innocent set of questions:

“Is there a better way to master my data?”

“Is there a better way to understand the data I have?”

“Is there a better way to bring data and content together?”

“Is there a better way to personalize data and insight to be relevant?”

Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.

Read more