Implementing Artificial Intelligence Requires Diverse Sets of Data to Avoid Biases

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Implementing Artificial Intelligence Requires Diverse Sets of Data to Avoid Biases

Gross Abrams Stevens Pentland ( From Top left to right clockwise): Michelle Ontiveros Gross, partner with Mayer Brown; Erin Abrams, general counsel of Via Transportation Inc.; Beth Stevens, head of legal with OpenDoor.; and Louise Pentland, chief business affairs and legal officer with PayPal.

In-house counsel should work with their engineers and executives to fully understand what data sets go into artificial intelligence systems to eliminate unconscious bias and drive better business results, in-house leaders familiar with the technology say.

Published at Mon, 02 Nov 2020 23:37:30 +0000

Resetting Covid-19 Impact On Artificial Intelligence and Machine Learning in IoT Market Report …

Earlier machine learning techniques have been used extensively for a wide range of tasks including classification, regression and density estimation in a variety of application areas such as bioinformatics, speech recognition, spam detection, computer vision, fraud detection and advertising networks. Machine learning is the main method among those computational application to IoT and there are lots of application both in research and industry including energy, routing, and home automation and so on.

Top Companies Covered in this Report:

Google Inc., Cisco, IBM Corp., Microsoft Corp., Amazon Inc., PTC (ColdLight), Infobright, Mtell, Predikto, Predixion Software and Sight Machine

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The report aims to provide an overview of global artificial intelligence and machine learning in IoT market with detailed market segmentation by application, and geography. The global artificial intelligence and machine learning in IoT market is expected to witness exponential growth during the forecast period so as to manage increasingly large amount of unstructured machine data available in almost all industry.

The objectives of this report are as follows:

– To provide overview of the global artificial intelligence and machine learning in IoT market

– To analyze and forecast the global artificial intelligence and machine learning in IoT market on the basis of its application

– To provide market size and forecast till 2025 for overall artificial intelligence and machine learning in IoT market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM), which is later sub-segmented by respective countries

– To evaluate market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend

– To provide exhaustive PEST analysis for all five regions

– To profiles key artificial intelligence and machine learning in IoT players influencing the market along with their SWOT analysis and market strategies

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Table Of Content

1 Introduction

2 Key Takeaways

3 Artificial Intelligence and Machine Learning in IoT Market Landscape

4 Artificial Intelligence and Machine Learning in IoT Market – Key Industry Dynamics

5 Artificial Intelligence and Machine Learning in IoT Market Analysis- Global

6 Artificial Intelligence and Machine Learning in IoT Market Revenue and Forecasts to 2025 – Application

7 Artificial Intelligence and Machine Learning in IoT Market Revenue and Forecasts to 2025 – Geographical Analysis

8 Industry Landscape

9 Competitive Landscape

10 Artificial Intelligence and Machine Learning in IoT Market, Key Company Profiles

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Published at Mon, 02 Nov 2020 19:30:00 +0000