Organizations of all sizes and across all industries gather and analyze metrics or key performance indicators (KPIs) to help their businesses run effectively and efficiently. Operational metrics are used to evaluate performance, compare results, and track relevant data to improve business outcomes. For example, you can use operational metrics to determine application performance (the average time it takes to render a page for an end user) or application availability (the duration of time the application was operational). One challenge that most organizations face today is detecting anomalies in operational metrics, which are key in ensuring continuity of IT system operations. Traditional rule-based methods are manual and look for data that falls outside of numerical ranges that have been arbitrarily defined.

Here, in two fMRI experiments, we demonstrate a mechanism of abstraction built upon the valuation of sensory features. Human volunteers learned novel association rules based on simple visual features. Reinforcement-learning algorithms revealed that, with learning, high-value abstract representations increasingly guided participant behaviour, resulting in better choices and higher subjective confidence. We also found that the brain area computing value signals – the ventromedial prefrontal cortex – prioritised and selected latent task elements during abstraction, both locally and through its connection to the visual cortex. Such a coding scheme predicts a causal role for valuation. Hence, in a second experiment, we used multivoxel neural reinforcement to test for the causality of feature valuation in the sensory cortex, as a mechanism of abstraction.

A simple and effective rule of 3 to consider when leading prospects through your sales funnel to the finish line. What if I could give you a simple blueprint on how to effectively navigate a qualified lead through your sales funnel and across the finish line? How many hours and resources could you save and invest elsewhere by sticking to the rule of 3 when it comes to sales communications? One thing I know for certain, our B2B website contact form leads are our most promising leads to close and in most instances, they close in record time. I invite you to stick along for the ride as I reveal how to use the rule of 3 in the sales process.

Los Angeles County recorded more than 1,900 new coronavirus cases Friday, another major jump, as a mandatory mask restriction for inside public places takes effect Saturday night. Over the last week, L.A. County has reported an average of more than 1,000 new coronavirus cases a day -- a tally that, though merely a fraction of the sky-high counts seen during previous surges, is still six times as high as what the county was seeing in mid-June. Daily case numbers have jumped: 1,537 new cases were reported Thursday, and 1,902 more were added Friday. COVID-19 hospitalizations also doubled over that same time period, from 223 on June 15 to 462 on Thursday. More than 8,000 coronavirus-positive patients were hospitalized countywide during the darkest days of the winter wave.

All the sessions from Transform 2021 are available on-demand now. "An underlying issue that most enterprise organizations struggle with is that their data is a disaster," noted Anthony Deighton, chief product officer at AI-powered data unification company Tamr. Deighton was moderating a panel at VentureBeat's Transform 2021 event today, which delved into practical and academic perspectives on how companies -- particularly financial institutions -- can use machine learning (ML) to improve the quality and reliability of their data. Deighton was joined by Tamr cofounder Michael Stonebraker, winner of the 2015 Turing award and a renowned computer scientist who specializes in database research; and Jonathan Holman, head of digital transformation at financial services company Santander U.K., a Tamr customer. So what is the problem that Tamr, ultimately, is setting out to solve?

Cases of the virus have risen sharply since the Delta variant emerged six weeks ago but, thanks to our fantastic vaccination programme, we are not seeing these translate into large numbers of people falling seriously ill or needing hospital treatment.

In this paper, we consider existential rules, an expressive formalism well suited to the representation of ontological knowledge and data-to-ontology mappings in the context of ontology-based data integration. The chase is a fundamental tool to do reasoning with existential rules as it computes all the facts entailed by the rules from a database instance. We introduce parallelisable sets of existential rules, for which the chase can be computed in a single breadth-first step from any instance. The question we investigate is the characterization of such rule sets. We show that parallelisable rule sets are exactly those rule sets both bounded for the chase and belonging to a novel class of rules, called pieceful. The pieceful class includes in particular frontier-guarded existential rules and (plain) datalog. We also give another characterization of parallelisable rule sets in terms of rule composition based on rewriting.

AI-enhanced cybersecurity is a must in 2021 and beyond. Clearly, the industry agrees -- you'll find an endless list of AI security platforms in the marketplace. What do vendors really mean when they use the term "artificial intelligence?" AI can be a fluid term, and sometimes mean different things to different people, and although marketing teams at cyber companies are using this ambiguity to their advantage, too often when it comes to the actual implementation and use of these platforms, the technology and promise falls short of AI in it's true scientific sense. Some artificial intelligence is and will be groundbreaking for the cybersecurity industry.

With the launch of VisaNet AI, we are seeing Visa in this particular case take matters into their own hands and develop products and services that are targeted at improving the services provided by their own clients, who are not able to keep up with the pace of technological advancement. For a long time we have known that data is the new oil, and that companies who wish to stay competitive in today's landscape, need to take aggressive steps into ensuring that their strategy, infrastructure and processes are data-driven. However, within the Payments industry we know that a lot of companies are still struggling to do so. VisaNet AI, which is a set of network services that helps deliver smarter authorization, clearing, and settlement for banks, merchants and consumers, is a great example of how companies should work on improving their core services. For years, we have worked with issuers, acquirers and merchants to drive through that the performance of their authorization is at the core of what payments should be.

As with everything else in Coupa, AI has been thoughtfully applied to areas where it adds real value. One such area is financial fraud. Detecting financial fraud can be challenging, costly, and time-consuming for organizations. However, with Coupa's robust AI-powered fraud detection solution, Spend Guard, we are able to help customers catch fraud and errors in-flight before they are even paid. Within Spend Guard, one of the many checks that our customers have found valuable is in detecting duplicate invoices.