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)
- 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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