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Meet Futurice and the entire AI community at this year's World Summit AI in Amsterdam. View the full programme, speaker line up and book tickets by visiting worldummit.ai

World Summit AI 2019
October 9th-10th
Amsterdam, Netherlands
worldsummit.ai

Since the release of the full-stack, full-scenario AI strategy at the end of 2018, Huawei has made a strong breakthrough in AI with its powerful computing advantages. In particular, Huawei released the world's most powerful AI processor Ascend 910 on August 23 this year, which earned a ticket for Huawei to enter the field full of world's top players. Giants in the industry quickly realize that Huawei has more than 5G and mobile phones. Huawei is investing greatly in basic research, which is helping Huawei seize the high ground in the future.

Erez Shilon, Head of Product Management at Firefly.ai guides you through 3 simple steps to turn your product into an AI machine. A step-by-step guide for determining the right use case of machine learning for your product

By Infoholic Research

The inception of AI is transforming the traditional way of business operations across enterprises, imbuing newer capabilities, creating business opportunities and enhancing operational efficiencies. Today, the market is witnessing largescale AI adoption and deployment across industries. Every organization is looking for cutting-edge technologies that gives them the necessary edge and lead amid competition. 

Until you break Apache Kafka you don't know how fragile it is. Why would you deliberately break Kafka? Because you want to learn what can go wrong and how to prevent it. When Kafka breaks in production you'll want to fix it as fast as possible. It's cheaper to invest into learning how to chaos test Kafka than it's to hire lawyers because you broke an SLA. The purpose of chaos testing is to see what happens when a service fails. Instead of assertions, chaos tests use monitoring solutions to prove correctness.

AI can transform or replace existing business processes or create new ones, driving down costs and delivering greater speed, agility and quality. There are numerous new use cases and data-driven revenue streams, creating new sources of competitive advantages for bold organizations. Whether you see yourself as a proactive adopter or a watchful bystander when it comes to AI, use this Digital Transformation Review as a reference. Curated by Capgemini’s Digital Transformation Institute.

So you’ve invested in artificial intelligence (AI). The first questions your board may ask will likely be related to what it can do, how will it improve business processes, save money or provide greater experiences for customers. However to be responsible there are two questions that should be asked first...

While regulators and legal experts are getting into the bigger accountability questions around artificial intelligence, such as who is liable if an autonomous vehicle crashes, formal governance to guide decision-making is largely lacking for everyday business application. The urgency around this is increasing: AI is being widely used across functions ranging from marketing to customer service, and ambitions for it are soaring as organisations witness its potential.

Artificial intelligence has reached a tipping point. It can no longer be ignored as a phase or something only for companies that are typically early adopters of technology. It’s impact on all areas of life, from medical research to your next film recommendation from Netflix, is evidence of its wide-ranging capabilities.

Over the past 25 years, computers have slowly encroached into the domain of human intellect, the machines first victory was in 1997 when Kasparov lost to Deep Blue at Chess1. Since then A.I. have continued to expand the games they can beat us at, from Go to Poker, and Shogi to Starcraft2. These achievements of machine learning, whilst shockingly impressive, are in stark contrast to the failures of A.I. in the real world.