Cognitive Computing

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

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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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Bioingine.com; Integrated Platform for Public Health and EBM based Patient Health Analytics

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Ingine Inc; Bioingine.com Deductive Logic to Inductive Logic Notational Algebra & Symbolic Programming Deductive – What | Inductive – Why, How Deductive:- Statistical Summary of the Population by each Variable Recorded Deductive:- Statistical Distribution of a Variable Deductive:- Partitioning Data into Clusters Cluster analysis is an unsupervised learning technique used for classification of data. Data […]

Platform for BigData Driven Medicine and Public Health Studies [ Deep Learning & Biostatistics ]

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Bioingine.com; Platform for comprehensive statistical and probability studies for BigData Driven Medicine and Public Health. Importantly helps redefine Data driven Medicine as:- Ontology (Semantics) Driven Medicine Comprehensive Platform that covers Descriptive Statistics and Inferential Probabilities. Beta Platform on the anvil…. Continue Reading →

Bioingine.com :- Quantum Mechanics Machinery for Healthcare Ecosystem Analytics

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Notational – Symbolic Programming Introduced for Healthcare Analytics Quantum Mechanics Firepower for Healthcare Ecosystem Studies Interoperability Analytics Public Health and Patient Health Quantum Mechanics Driven A.I Experience Deep Machine Learning Descriptive and Inferential Statistics Definite and Probabilistic Reasoning and Cognitive… Continue Reading →

Know Your Health Ecosystem (Semantic Lake) :- Deep Learning from Healthcare Interoperability BigData – Descriptive and Inferential Statistics

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Bioingine.com; Platform for Healthcare Interoperability (large data sets) Analytics Deep Learning from Millions of EHR Records 1. Payer – Provider:- (Mostly Descriptive Statistics) Mostly answers “What” Healthcare Management Analysis (Systemic Efficiencies) Opportunities for cost reduction Chronic patient management Pathway analysis… Continue Reading →

Computing Cardiovascular Risk Score – BioIngine (HDN)

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Mar 21, 2016 Below is Screen Shots of the BioIngine – HDN Ingine; that creates a semantic lake and from which computes the probabilistic risk; as one of the use case. Bioingine.com; in its first attempt is implemented employing Wolfram… Continue Reading →

The Top 6 Questions To Succeed At Artificial Intelligence

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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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The Top 6 Questions To Succeed At Artificial Intelligence

by

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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Statistically caused, and so perhaps then Uncaused and neither Determined nor Pre-Determined

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Cogito ergo sum [a] is a  Latin philosophical  proposition by  René Descartes usually translated into English as ” I think, therefore I am“. Cartesianism – is usually understood as deterministic, i.e. about  definite answers, deductive logic . Actually Descartes held that all existence consists in three distinct substances, each with its own essence… Continue Reading →

HDN – Inference Engine driven Cognitive Computing

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Prescriptive / Descriptive / Predictive Deductive / Inductive “Arguments based on Deductive / Inductive based on the Inferential “ Notational Computing / Semantic Algebra / Quantum Statistics Non – Predicated Intelligence Driven Data Science Platform

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

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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 →