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Cognitive computing is the next generation of analytics beyond data science.

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“AI” may be a hot buzzword – and a global market expected to grow to nearly $310 billion by 2026 – but what exactly does artificial intelligence mean?

It can be difficult to define AI because of its wide-ranging application.

These reasons have led to an increase in the demand for an even more specific definition of AI. Some consider cognitive computing to be the next step and final evolution of AI.

” It’s such an amorphic term, that AI has come to mean now,” stated Stephen DeAngelis (founder and CEO of Enterra Solutions). The cognitive computing company has come up with its own name for this evolved AI use case, autonomous decision science (ADS), which it says goes “beyond data science.”

DeAngelis stated that

AI must not only be autonomous but also have the ability “sense and think, act, and learn” itself. It doesn’t just operate on its own, generate data and insight; it also makes decisions based upon that information, just like a human.

Cognitive Computing offers human-like reasoning

AI refers to the simulated processing by machines of human intelligence. Machine Learning (ML )) is the self-learning subset.

Practitioners believe that cognitive computing goes beyond both, leveraging techniques such as pattern recognition, natural languages and “human sense” processing. Data mining and other systems that aim to mimic human thought processes are also examples of this type of cognitive computing.

According to Markets and Markets, these types of processes working in tandem allow cognitive computing systems to analyze emerging patterns, spot business opportunities and handle critical process-centric issues – all in real time. This will improve interaction by “providing relevant contextual and valuable information” which can be used to inform custom recommendations and decision-making, reduce costs, and streamline business processes.

The firm predicts that the global cognitive computing market size will grow to $77.5 billion by 2025, representing a CAGR of more than 30% from 2020. This growth is due to many factors, including the continued evolution of computing environments (cloud, mobile and analytics), hybrid deployment models, increased human-machine interaction, and an increased use of hybrid computing. Companies are also looking for intelligent business processes. They are applying deeplearning techniques more frequently and using cognitive abilities to lower operational costs.

A growing number of companies offer cognitive computing tools, including SparkCognition and Numenta as well as Deepmind, CognitiveScale, CognitiveScale, CognitiveScale, CognitiveScale, and Numenta. The space is also home to IBM Watson, HPE Haven OnDemand, Microsoft Cognitive Services and Microsoft Cognitive Services.

Uniting technologies

Enterra describes their ADS platform as using human-like reasoning AI software. It “serves to be a data scientist and subject matter expert, as well as a trusted counsel .”

This technology includes capabilities such as inference reasoning and semantic reasoning capabilities. It also has ontology-based rule engines, industry-specific knowledge bases, common-sense knowledge base, and ontology-based rules engines. These capabilities are then combined with non-linear optimization function and glass box ML techniques. These two combine to provide a more transparent, Xray view of the ML process (in contrast to traditional “black box” models), while also allowing the system solve optimization problems where constraints or objective functions may be nonlinear.

By leveraging all of this, the system can analyse disparate data sources at “speed-of-market” without being restricted by variables, DeAngelis explained. It can provide insight for consumers and businesses and help them understand their business processes with minimal human intervention. ADS then can automatically make and learn from decisions. It also provides simple explanations of why decisions were made, how they were implemented and what to do next.

All in all, this can help companies optimize their revenue drivers, improve supply and demand planning and gain competitive intelligence among other benefits.

DeAngelis emphasized the fact that AI can be misused and overused, and that it is often attributed technologies that are more technically ML. He argues that ML is not artificial or intelligent.

He said that

ADS, cognitive computing and other forms of data analysis “allow us to gain enterprise scalability in the analysis of data for the first-time.” We can analyze larger areas of the world and larger portions of businesses .”

.

Business use cases

DeAngelis explained that

Enterra is a company that focuses its ADS technology on global consumer products.

One example use case would be incentivizing products and offering trade promotions. The system will be able to understand the constraints of both the manufacturer and retailer so it can generate trade promotions that are possible for both parties. It basically uses “control knobs” to find the optimal optimization.

For example, it could look at sales and promotional campaigns weekly, and also consider whether a manufacturer was closed and couldn’t make pepperoni. DeAngelis stated that the AI can “re-optimize at market speed” and can even tinker with the product. “The AI can optimize any combination .”

,” DeAngelis said.

The platform is able to reduce processes that used to take weeks to mere minutes, he claimed, which has been helpful in getting clients through the last few years of COVID, COVID-plus inflation, COVID-plus-inflation-plus another wave of inflation brought on by the war in Ukraine.

” While you cannot foresee every problem, it is possible to mitigate risk and take advantage of market movements by being able to respond quickly,” DeAngelis stated. It gives companies a set of control knobs they can adjust to achieve their goal. It decodes the dimensions of the human experience .”

Enterra claims that its ADS is 90% as accurate as human experts, and that its apps have derived 1,000% annual ROI. Top brands such as Nestle, McCormick and Mars use the company’s tools, as well P&G, TPG, Unilever, and P&G. DeAngelis said Enterra is experiencing roughly 95% CAGR and is on a path to IPO in the next 24 months.He reiterated the fact that the future of AI is not ML, but techniques such as cognitive computing and ADS. He said, “This is the next wave in analytic innovation.”

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USB logos finally make sense, thanks to a redesign

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USB logos finally make sense, thanks to a redesign


Author: Mark Hachman
, Senior Editor

As PCWorld’s senior editor, Mark focuses on Microsoft news and chip technology, among other beats. He has formerly written for PCMag, BYTE, Slashdot, eWEEK, and ReadWrite.

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Cheaper OLED monitors might be coming soon

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Cheaper OLED monitors might be coming soon


Author: Michael Crider
, Staff Writer

Michael is a former graphic designer who’s been building and tweaking desktop computers for longer than he cares to admit. His interests include folk music, football, science fiction, and salsa verde, in no particular order.

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New Pixel Watch leak reveals watch faces, strap styles and more

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New Pixel Watch leak reveals watch faces, strap styles and more
Google Pixel watch



The Google Pixel Watch is incoming
(Image credit: Google)

We’re expecting the Google Pixel Watch to make its full debut on Thursday, October 6 – alongside the Pixel 7 and the Pixel 7 Pro – but in the meantime a major leak has revealed much more about the upcoming smartwatch.

Seasoned tipster @OnLeaks (opens in new tab) has posted the haul, which shows off some of the color options and band styles that we can look forward to next week. We also get a few shots of the watch interface and a picture of it being synced with a smartphone.

Watch faces are included in the leak too, covering a variety of different approaches to displaying the time – both in analog and digital formats. Another image shows the watch being used to take an ECG reading to assess heartbeat rate.

Just got my hands on a bunch of #Google #PixelWatch promo material showing all color options and Watch Bands for the first time. Some details revealed as well…@Slashleaks 👉🏻 https://t.co/HzbWeGGSKP pic.twitter.com/N0uiKaKXo0October 1, 2022

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Full colors

If the leak is accurate, then we’ve got four silicone straps on the way: black, gray, white, and what seems to be a very pale green. Leather straps look to cover black, orange, green and white, while there’s also a fabric option in red, black and green.

We already know that the Pixel Watch is going to work in tandem with the Fitbit app for logging all your vital statistics, and included in the leaked pictures is an image of the Pixel Watch alongside the Fitbit app running on an Android phone.

There’s plenty of material to look through here if you can’t wait until the big day – and we will of course be bringing you all the news and announcements as the Google event unfolds. It gets underway at 7am PT / 10am ET / 3pm BST / 12am AEDT (October 7).


Analysis: a big moment for Google

It’s been a fair while since Google launched itself into a new hardware category, and you could argue that there’s more riding on the Pixel Watch than there is on the Pixel 7 and Pixel 7 Pro – as Google has been making phones for years at this point.

While Wear OS has been around for a considerable amount of time, Google has been leaving it to third-party manufacturers and partners to make the actual hardware. Samsung recently made the switch back to Wear OS for the Galaxy Watch 5 and the Galaxy Watch 5 Pro, for example.

Deciding to go through with its own smartwatch is therefore a big step, and it’s clear that Google is envious of the success of the Apple Watch. It’s the obvious choice for a wearable for anyone who owns an iPhone, and Google will be hoping that Pixel phones and Pixel Watches will have a similar sort of relationship.

What’s intriguing is how Fitbit fits in – the company is now run by Google, but so far we haven’t seen many signs of the Fitbit and the Pixel lines merging, even if the Pixel Watch is going to come with support for the Fitbit app.

Dave is a freelance tech journalist who has been writing about gadgets, apps and the web for more than two decades. Based out of Stockport, England, on TechRadar you’ll find him covering news, features and reviews, particularly for phones, tablets and wearables. Working to ensure our breaking news coverage is the best in the business over weekends, David also has bylines at Gizmodo, T3, PopSci and a few other places besides, as well as being many years editing the likes of PC Explorer and The Hardware Handbook.

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