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AI Driving Innovation in Tech

AI Driving Innovation in Tech

Artificial Intelligence (AI) and Internet of Things (IoT) are closely aligned since IoT is largely about collecting data from assets, analyzing the data to gain insight, taking action, and creating value. AI is about organizing and making sense of structure and unstructured data in an automated, self-learning context. Many companies are now realizing that data is critical to the survival of their businesses as technology and how people use information changes. Many of the largest companies have an IoT and AI strategy. This paper is focuses on the use of artificial intelligence to improve business operations and the resulting opportunities. Contents include AI Talent Acquisition, 14 vendor profiles, AI Pricing Parameters, Revenue Flow, Opportunities, Use Cases, List of AI Experts, Investment Areas in Chipsets, and more. This report is authored by Nadine Manjaro.


List of Tables
Executive Summary
Acquiring Talent Drives Acquisition
Open Source
Drinking their Own CoolAiD
SmartPhone & OEM AI Strategy
Edge processing and Other Use Cases for AI
What is AI?
Why AI is Important
Top AI Talent
AI Vendor Profiles
Amazon
Apple
Arizona Public Utilities
Baidu
DHS NASA JPL (AUDREY)
Facebook
GoogLe
IBM
Intel
Microsoft
Mobileye (Intel)
Nvidia
Tesla
SalesForce
Samsung
How to Price AI Solutions?
Flat Fee
Subscription
Pay Per Use Model
WHERE IS THE REVENUE FLOWING?
Opportunities in AI?
AI: DRIVING INNOVATION IN TECH
Investment and Acquisitions in Self-Driving Vehicle Technologies
Chip Segment
List of Tables
Table 1. AI Acquisitions 2017
Table 2: Machine Learning and AI Experts
Table 3: Amazon Snapshot
Table 4: Product Highlights
Table 5: Apple Snapshot
Table 6: Apple ML and AI Acquisition
Table 7: Baidu Snapshot
Table 8: Facebook Snapshot
Table 9: Google Snapshot
Table 10: IBM Snapshot
Table 11: Intel Snapshot
Table 12: Microsoft Snapshot
Table 13: Microsoft Product Portfolio
Table 14: Mobileye Snapshot
Table 15: Mobileye Product Spotlight
Table 16: Nvidia Snapshot
Table 17: TESLA Snapshot
Table 18: Salesforce Snapshot
Table 19: Salesforce AI Acquisitions, 2016
Table 20: Samsung Snapshot
Table 21: Pricing Models - DataRPM and Salesforce.com
Table 22: Pricing Models – Amazon and Google
Table 23: Auto-related Investments & Acquisitions
Table 24: Investment Areas by Company – Chipset Market
List of Figures
Figure 1: Machine Learning Use Cases, 2017)
Figure 2: AI Acquisitions by Companies over the last three years (2015, 2016 & 2017)
Figure 3: AI Talent Expenditures By Company, 2017

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