For years, organizations have leveraged business intelligence dashboards to help users make data-driven decisions. Unfortunately, often the analytics platforms are chosen to fit the data rather than leading with what the company is trying to solve for. The sheer volume of data and lack of context provided can lead to poor decisions and less than ideal outcomes. That's where decision intelligence comes in. Leaders from TEKsystems share their points of view on how organizations are incorporating AI and machine-learning technologies to transform their business intelligence platforms into powerful tools that optimize the decision-making process, create agility and drive the business forward.
In a critical episode of The Mandalorian, a TV series set in the Star Wars universe, a mysterious Jedi fights his way through a horde of evil robots. As the heroes of the show wait anxiously to learn the identity of their cloaked savior, he lowers his hood, and--spoiler alert-- they meet a young Luke Skywalker. Actually, what we see is an animated, de-aged version of the Jedi. Then Luke speaks, in a voice that sounds very much like the 1980s-era rendition of the character, thanks to the use of an advanced machine learning model developed by the voice technology startup Respeecher. "No one noticed that it was generated by a machine," says Dmytro Bielievtsov, chief technology officer at Respeecher.
Fox News Flash top entertainment and celebrity headlines are here. Check out what clicked this week in entertainment. "Roseanne: Kicked Out of Hollywood" explores the controversy that led to Roseanne Barr's fall from grace. The 69-year-old comedian spent the documentary explaining her reasoning behind the tweet that led to the swift cancellation of her revived sitcom "Roseanne." Barr called her firing a "witch-burning" and claimed that she had been having issues with ABC regarding everything she tweeted.
On Episode 15 of Season 2, we're joined by Eric Horvitz, Microsoft's first ever Chief Scientific Officer. His research spans theoretical and practical challenges with developing systems that perceive, learn, and reason. He's the company's top inventor since joining in 1993 with over 300 patents filed. He has been elected Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), Fellow of the National Academy of Engineering (NAE), Fellow of the American Academy of Arts and Sciences, and Fellow of the American Association for the Advancement of Science (AAAS). He was a member of the National Security Commission on AI and he also co-founded important groups like the Partnership on AI, a non-profit organization bringing together Apple, Amazon, Facebook, Google, DeepMind, IBM, and Microsoft to document the quality and impact of AI systems on things like criminal justice, the economy, and media integrity.
Humans have the attention span of a goldfish, giving companies like Netflix just a few seconds to woe you before it loses you to a competing service or something other activity. Netflix wants to grab your attention say like a new boyfriend, but does it do this without spamming you with texts or calls? Getting a little technical here, Netflix relies heavy on batch machine learning approaches information gathered by algorithms that reflect A/B testing. Okay, Okay I know this was too much so imagine you are someone who watches more thrillers or mysteries you will see a thumbnail with Archie, Betty, and Veronica looking at you all intense emoting suspense. Now imagine me as someone who watches more romance and high-school drama, actually scrap that KNOW ME as someone who loves it -- I'm all about the notebook, the vow, and letters to Julliet.
My objective with this article is to demystify a few foundational Reinforcement Learning (RL) concepts with hands-on examples. We are going to apply RL to the infamous Glass Bridge challenge from the Netflix series Squid Game episode 7. Although no previous RL knowledge is required, solid Python coding skills and basic machine learning understanding are necessary to follow the content of this article. The code can be found here. In simple words, RL is a computational approach used to achieve a pre-defined goal, which can be winning a chess game, optimizing a medical treatment, or improving a financial trading strategy.
Savin Goyal is CTO and co-founder of Outerbounds, a startup building infrastructure to help teams streamline how they build machine learning applications. Prior to starting Outerbounds, Savin and team worked at Netflix, where they were instrumental in the creation and release of Metaflow, an open source Python framework that addresses some of the challenges data scientists face around scalability and version control. The machine learning universe is really fast moving. So how can we make sure that we're not making a bet, that would hinder our progress, two years or four years further down the line. Deep learning is super popular, but tomorrow there could be a new way of doing machine learning.
Data Science offers lucrative career opportunities in this day and age. Data scientists produce actionable business insights using data and implement mathematical algorithms to solve complex business problems. In fact, Amazon product recommendations, Netflix movie suggestions, Google Maps traffic predictions are some of the prime examples of data scientist work that we use every day in our lives! Data scientists' algorithms are helping many companies generate more revenue and enhance the customer experience of their products and services. Owing to these reasons, everybody aspires to be a data scientist these days.
It's the moment of truth on Netflix's new baking competition show Is It Cake?. The judges face a display of sneakers, all seemingly inedible, as sneakers generally are. They consult one another, after which they pronounce one of them to be made of cake. The host comes over with a large knife and lowers it onto the chosen sneaker. It sticks into the material: It's a sneaker. He moves to the judges' second guess.
Dubbing, where recordings in other languages are lip-synced and mixed with a show's original soundtrack, is an exploding business. One localization platform, Zoo Digital, saw revenues jump by 73% to $28.6 million in July 2018 compared to the year prior. Another, BTI Studios, told Television Business International that dubbing grew from 3% of its revenue in 2010 to 61% in 2019. According to Verified Market Research, the film dubbing market alone could reach $3.6 billion in worth by 2027, growing at a compound annual growth rate of 5.6% from 2020. But barriers stand in the way of expansion.