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Exploring the ML Tooling Landscape (Part 2 of 3)

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In the previous blog post in this series, we examined overall machine learning (ML) maturity in industry with a specific focus on machine learning operations (MLOps). The two main takeaways were the striking lack of ML maturing in industry as a whole, as well as the complexities involved in fully embracing MLOps, which can be taken to represent the apogee of ML maturation. In this blog post, we will consider the implications for tooling adoption in industry and the wider ML tooling market. This blog post is concerned with the second question. As with the previous post, the same disclaimer applies: This series of blog posts is by no means meant to be exhaustive -- or necessarily even correct in places! I wrote this to try to organise my thinking on the reading I've done in recent weeks and I want this to become a jumping off point for further discussion.


7 Incredible Mixed Reality Solutions to Review in 2022

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Mixing the real and virtual worlds to create something completely new, mixed reality is one of the least explored parts of today's immersive environments. While we have just begun to scratch the surface of mixed reality with AR (Augmented Reality), there is still a lot of work to do before we see a fully customized MR experience in the everyday world. Mixed Reality goes beyond the basics of AR to make the virtual and real worlds more connected and aligned than ever before. Creating a true mixed reality experience requires access to cutting-edge software and hardware, as well as endless creativity and intuition. Fortunately, there are a handful of companies in the MR space that are starting to make waves in the industry.


Sonos joins Matter but hasn't committed to supporting the new standard

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A huge reason behind Sonos' success is the company's adaptability. Whenever a new audio streaming service comes along -- and as the industry evolves and pushes new formats like lossless and Dolby Atmos spatial audio -- Sonos is always right there trying to support what's new. For voice assistants, Sonos offers both Amazon Alexa and Google Assistant on its smart speakers. And the company also widely supports Apple's AirPlay 2 across its current product lineup. That's all on top of the whole-home audio platform that Sonos has built its brand on. But to stay so nimble and adaptable, Sonos constantly needs to be looking forward and have some sense of what's coming down the technology pike.


German AI-Startup Landscape: 2022 - appliedAI

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The AI startups included in the landscape are private companies founded after 2012, with headquarters or significant operation in Germany. They have machine learning (ML) at their core or exhibit a significant usage of ML. During the year startups apply to be featured on the Landscape via our online survey. This year we received 94 new applications.Startups are then evaluated based on data, talent, AI methods, scalability, overall quality and subsequently clustered (see clustering logic).The startups are initially rated ('shortlisted', and'discarded') by our AI Engineers and Strategists to create a shortlist. Startups from previous year landscape are automatically transferred to the new year iteration unless they have closed their business, were acquired, pivot their business model away from AI or moved to a different geographical location.


Eight new ways technology is changing the marketing landscape

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Virtually every industry stays updated on the year's latest technology trends. New technologies are rapidly advancing, and businesses across every sector want to invest in them to reap the benefits -- companies in the marketing industry are no exception. The digital marketing landscape is ever-changing, and a primary factor affecting marketers is new tech innovations. Many principles remain the same over time, but professionals can continue following them and integrate new technologies simultaneously. The metaverse is a network of unique, immersive, and virtual spaces where users have personal avatars.


NASA's Record-Breaking Mars Rover Is Way Better At Self-Driving Than Earth Cars

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At a blistering top speed of 0.1 miles per hour, Perseverance is shattering what scientists thought possible from a Mars rover. Well, I'll remind you that it's doing this on a whole other goddamn planet, often by itself. A vehicle 127 million miles away is making its own decisions on how to cross a treacherous and truly alien landscape all on its own, and it's doing it at an incredible (for a rover anyway) 300 yards-a-day pace. Normally, special operators use headsets and 3D monitors to help navigate the rover over the rocky Martian landscape, which is very cool and sci-fi on its own. But now that Perseverance has a bit of a stretch of travel ahead of it, NASA is letting the little guy make his own way in the world while putting the pedal to the metal.


ESG Data Challenges: AI as a Solution

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The foundations of ESG reporting are built on data, yet simply learning the'lay of the land' is no longer enough – organisations must be able to identify and assemble enterprise data across their entire supply chain, in all operations and jurisdictions. Compounding the issue are complex corporate structures. Legally relevant data is often siloed; whether that be across various cloud storage environments, different computers due to Bring Your Own Device and remote working, or even in the minds of employees following personnel changes. The scale of this challenge is obvious, but with next-generation technology like AI at organisations' disposal, difficulty is no longer an excuse. With ESG set to remain a major compliance responsibility in the coming years, organisations must turn to AI technology as a solution.


Top 10 AI books for beginners

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Brockman's deep engagement with many of the leading scientists who have worked on artificial intelligence, from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram, makes Possible Minds an ideal introduction to the landscape of crucial issues AI raises. Some of these figures, including computer scientist Stuart Russell, Skype founder Jaan Tallinn, and physicist Max Tegmark, are deeply concerned with the threat of AI, including the existential one, while others, such as robotics entrepreneur Rodney Brooks, philosopher Daniel Dennett, and bestselling author Steven Pinker, have very different views. Possible Minds lays out the intellectual landscape of one of our time's most important issues in a serious, searching and authoritative manner.


Can we apply creator economy concept to technology with AI and Data?

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This article is sponsored by IBM. It is a new concept in which creators can apply passion and creativity to make money, instead of simply relying on likes and views. It focuses on bringing more life and meaning to the traditional media landscape in a way that empowers creative people worldwide to bring out the best in themselves, entirely driven by their passion. According to EMarketer, the creator economy is defined as follow: "We define creators as people or entities that develop original content for digital properties, and who consider creating that content to be either their full-time or parti-time career or livelihood. Of course, there is some overlap between many of these groups; for instance, celebrities can also be creators and vice versa. What's more, few successful influencers today are purely sales-oriented, and many of them are also creators, developing digital or, at times, physical products."


How Businesses Can Boost Their ROI With Agile AI

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AI adoption has witnessed a monumental surge in recent years. The COVID-19 pandemic has accelerated enterprise AI adoption as businesses pushed for digital transformation while a majority of the workforce was working remotely. However, generating significant return on investment (ROI) from AI-powered applications can be a complicated task for business leaders. Business leaders need to be aware of the changing landscape of their industry and use an agile approach for AI implementation. Along with these, businesses need to understand how to identify and utilize the strengths as well as assess the risks of AI utilization in a specific situation.