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Bringing AI to Excel--4 new features announced today at Ignite - Microsoft 365 Blog

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Excel's power comes from its simplicity. At its core, Excel is three things: cells of data laid out in rows and columns, a powerful calculation engine, and a set of tools for working with the data. The result is an incredibly flexible app that hundreds of millions of people use daily in a wide variety of jobs and industries around the world. Today, we're pleased to announce four new artificial intelligence (AI) features that make Excel even more powerful: Ideas is an AI-powered insights service that helps people take advantage of the full power of Office. Proactively surfacing suggestions that are tailored to the task at hand, Ideas helps users create professional documents, presentations, and spreadsheets in less time.


Bringing AI to Excel--4 new features announced today at Ignite - Microsoft 365 Blog

#artificialintelligence

Excel's power comes from its simplicity. At its core, Excel is three things: cells of data laid out in rows and columns, a powerful calculation engine, and a set of tools for working with the data. The result is an incredibly flexible app that hundreds of millions of people use daily in a wide variety of jobs and industries around the world. Today, we're pleased to announce four new artificial intelligence (AI) features that make Excel even more powerful: Ideas is an AI-powered insights service that helps people take advantage of the full power of Office. Proactively surfacing suggestions that are tailored to the task at hand, Ideas helps users create professional documents, presentations, and spreadsheets in less time.


Nearly 90 percent of companies have sights set on artificial intelligence investment, IFS study reveals

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London, November 14, 2019 – IFS, the global enterprise applications company, today announces the findings of a global research study into the attitudes and strategies towards artificial intelligence (AI) among business leaders. The study polled 600 business leaders worldwide and a broad spectrum of industries involved with their companies' enterprise technology including enterprise resource planning (ERP), enterprise asset management (EAM), and field service management (FSM). "AI is no longer an emerging technology. It is being implemented to support business automation in the here and now, as this study clearly proves," IFS VP of AI and RPA Bob De Caux said. "We are seeing many real-world examples where technology is augmenting existing decision-making processes by providing users with more timely, accurate and pertinent information. In today's disruptive economy, the convergence of technologies such as AI, RPA, and IoT is bolstering a new form of business automation that will provide companies that are brave enough with the tools and services they need to be more competitive and outflank larger competitors."


NVIDIA Wins MLPerf Inference Benchmarks – NVIDIA Developer News Center

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Today, NVIDIA posted the fastest results on new MLPerf benchmarks measuring the performance of AI inference workloads in data centers and at the edge. The new results come on the heels of the company's equally strong results in the MLPerf benchmarks posted earlier this year. MLPerf's five inference benchmarks -- applied across a range of form factors and four inferencing scenarios -- cover such established AI applications as image classification, object detection and translation. NVIDIA topped all five benchmarks for both data center-focused scenarios (server and offline), with Turing GPUs providing the highest performance per processor among commercially available entries. Xavier provided the highest performance among commercially available edge and mobile SoCs under both edge-focused scenarios (single-stream and multistream).


AI For Advertisers: How Data Analytics Can Change The Maths Of Advertising? – Data Science Blog (English only)

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The task of understanding a customer's journey and designing your marketing strategy accordingly can be difficult in this data-driven world. Today, the customer expresses their needs in myriad forms of requests. Consumers express their needs and want attitudes, and values in various forms through search, comments, blogs, Tweets, "likes," videos, and conversations and access such data across many channels like web, mobile, and face to face. Volume, variety, velocity and veracity of the data accumulated through these customer interactions are huge. BigData and data analytics can be leveraged to understand several phases of the customer journey.


"AI For Everyone": Course Review & Key Takeaways

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I am working in ML/AI field for 6 years and apart from technical skills that I acquired while working on the projects, I have also discussed various aspects of ML/AI with my non-technical colleagues, who have mostly been senior manager, VPs or CXOs. When I heard about "AI For Everyone" course, I was a bit reluctant in attending it as I thought I know most of the generic stuff that might have been talked in the course. Recently, one of my colleagues discussed with me a few topics covered in this course which intrigued me to get a fresh perspective on these topics. So, I recently attended this course on Coursera. My motivation to write this blog is to make sure that I have understood key aspects of this course and am able to make my non-technical colleagues and project stakeholders understand the benefits & limitations of using AI.


Can the planet really afford the exorbitant power demands of machine learning? John Naughton

The Guardian

There is, alas, no such thing as a free lunch. This simple and obvious truth is invariably forgotten whenever irrational exuberance teams up with digital technology in the latest quest to "change the world". A case in point was the bitcoin frenzy, where one could apparently become insanely rich by "mining" for the elusive coins. All you needed was to get a computer to solve a complicated mathematical puzzle and – lo! – you could earn one bitcoin, which at the height of the frenzy was worth $19,783.06. All you had to do was buy a mining kit (or three) from Amazon, plug it in and become part of the crypto future.


How Does AI is Bringing A Great Change in eCommerce?

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Artificial Intelligence is boldly walking across the corridors of eCommerce and steadily taking over the world. Don't you agree with this fact? Some people say, Artificial Intelligence is replacing human beings and will eat up their jobs. Furthermore, they can do the jobs that you could have ever imagined that robots will do one day in this real-world. Can we call AI, a real game-changer in the eCommerce Industry?


Machine Learning for Social Good

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In my last blog we focussed on some of the problems with Artificial Intelligence (AI) and public trust that can be compounded by organisational issues such as dark data. This time round we're going to look at a couple of examples that demonstrate how AI can be used as a force for good. Over the past few months we have been working with the World Economic Forum (WEF) to test out some of the guidance on AI that we have been drafting with them. There have been a lot of lively debates as the use of AI is clearly divisive, especially when it comes to image processing. If we look at the UK there has been controversy recently over police using facial recognition techniques on CCTV footage to support the fight against crime.


Creativity in software engineering? It could be what keeps AI from taking over the job. That and more news and views from the week

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You are reading "Compiler," a software engineering newsletter from LinkedIn covering the industry's top news, trends and interesting players. If you like what you see here, make sure to subscribe! Artificial intelligence is going to change all jobs, but the ones least affected will be those that lean a lot on things like "intuition" and "creativity." That's all according to a recent report from the MIT-IBM Watson AI Lab that tracked the work tasks machines have taken on so far in an effort to project what will be taken over by them in the future. So what does this latest data-driven prediction mean for the future of software engineering roles?