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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Self-driving cars excel at navigating roads and supercomputers like IBM Watson ® can analyze vast amounts of data. Regardless, these are examples of narrow AI. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

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#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

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#ModernDataMasters: Michele Chambers, AWS

Reltio

If you keep doing the same things with the same data you will get the same results and everyone wants new results. You have to infuse your data with new data – use behavioural and operational data together for example – if you want new insights.

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How to choose the best AI platform

IBM Big Data Hub

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

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Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

For example, PNC Financial Services Group’s annual report mentions the business initiative to “grow profitability through the acquisition and retention of customers and deepening relationships.” Figure 3: PNC Financial Services Group 2015 Annual Report. What are the metrics that will measure success? See Figure 6.

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Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

For example, PNC Financial Services Group’s annual report mentions the business initiative to “grow profitability through the acquisition and retention of customers and deepening relationships.” Figure 3: PNC Financial Services Group 2015 Annual Report. What are the metrics that will measure success? See Figure 6.

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The Business of Data Newsletter – Issue 7 (7 December 2018)

Information Matters

Retailers are most at risk globally, with 62% of respondents willing to walk away after a data breach, followed by banks (59%) and social media sites (58%), according to a survey of 10,500 consumers by digital security firm Gemalto.” 71% of UK businesses at risk due to data skills gap, CEOs say – TechRepublic, 26 November 2018.

IoT 40