Is curiosity as important as intelligence when it comes to handling complexity? Some new thinking from HBR suggests that it is — especially when handling ambiguity and change. Apparently people with a high curiosity quotient (CQ) are better at producing simple solutions to complex problems. (Hmm. Sounds like a good characteristic for an analyst to have.) It’s a bonus that many […]
On Monday, April 24, Steve Nunn, President and CEO of The Open Group gave a warm welcome to over 200 attendees from 24 countries at the ‘Smart Cities/Making Standards Work’ event in Berlin, Germany. The venue, Berlin Marriott, sits on the site where some of the Berlin Wall was. In several meeting rooms, attendees were in the former East and West Berlin at the same time.
Medical Automated Reasoning Programming Language environment [MARPLE] References:- On PICO Gold Standard http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3140151/ http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1069073/ Formulating a researchable question: A critical step for facilitating good clinical research Sadaf Aslam and Patricia Emmanuel Abstract:- Developing a researchable question is one of the challenging tasks a researcher encounters when initiating a project. Both, unanswered issues in current clinical practice or […]
Quantum Universal Exchange Language Implicate order and explicate order are concepts coined by David Bohm to describe two different frameworks for understanding the same phenomenon or aspect of reality.He uses these notions to describe how the same phenomenon might look different, or might be characterized by different principal factors, in different contexts such as at different scales. Macro […]
Customers’ perception of a company depends on their experiences with the organization at every point of contact. Companies can try to change how customers view a brand in a number of ways, such as a new mobile app or an improved complaint-handling proc…
Non-Hypothesis driven Unsupervised Machine Learning Platform delivering Medical Automated Reasoning Programming Language Environment (MARPLE) Evidence Based Medicine Decision Process is based on PICO From above link “Using medical evidence to effectively guide medical practice is an important skill for all physicians to learn. The purpose of this article is to understand how to ask and evaluate […]
Recently announced Precision Medicine a fantastic mission to bring all the research institutions country wide to collaborate together and holistically solve the civilization’s most complex and pressing problem Cancer, employing genomics while engaging science in an integrative discipline approach. While the Precision Medicine mission is grand and certainly requires much attention and focus; that many new tools […]
Huawei Technologies started out nearly 30 years ago as a small private company with 14 employees and 140,000 yuan in capital. By 2015, its total revenue exceeded $60 billion. Huawei is already a global company, but its globalization journey has been a …
Are you lost in a confusing soup of vendor-speak about what their data analytics stack actually offers? Big data, data platforms, advanced analytics, data lakes, real-time everything, streaming, the IoT, customer analytics, digital intelligence, real-t…
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 →
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 →
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: