Category Archives: Ai

ARLINGTON, Va. U.S. military researchers will brief industry next month on an upcoming project to develop new kinds of artificial intelligence (AI) and machine autonomy for battle management and sensor fusion.

Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., issued a special notice (DARPA-SN-23-06) on Monday for the Artificial Intelligence Reinforcements (AIR) project.

The DARPA AIR initiative seeks to fill gaps in research on developing and deploying tactical autonomy capability in real-world military operations. Industry briefings will be from 8:30 a.m. to 5 p.m. on Monday 14 Nov. 2022 at Amentums Ballston Conference Center, 4121 Wilson Blvd., in Arlington, Va.

AIR will focus on previously avoided dimensions to enable tactical autonomy in integrated sensors, scalability to large engagements, adaptability to changing conditions, and the ability to learn predictive models that incorporate uncertain knowledge of adversary and self, as well as deceptive effects.

Related: Marines ask Sentient Vision for artificial intelligence (AI) and machine autonomy for unmanned reconnaissance

AIR will pair existing, maturing, and emerging algorithmic approaches with expert human feedback to evolve the cooperative autonomous behaviors rapidly that solve previously avoided challenges.

AIR will address two technical areas: creating fast and accurate models that capture uncertainty and automatically improve with more data; and developing AI-driven algorithmic approaches to real-time distributed autonomous tactical execution within uncertain, dynamic, and complex operational environments.

The AIR program also will develop ways to design, test, and implement future iterations of AIR software.

Related: Artificial intelligence (AI) to enable manned and unmanned vehicles adapt to unforeseen events like damage

Briefings will be at Amentums Ballston Conference Center on the second floor of 4121 Wilson Blvd. in Arlington, Va., on Monday 14 Nov. 2022 from 8:30 a.m. to 5:00 p.m. Check-in begins at 8 a.m.

Briefings will include information that is International Traffic in Arms (ITAR)-restricted, so attendance is limited to U.S. citizens or U.S. permanent residents representing U.S. companies. Briefings will be classified at the Collateral SECRET level and will require security clearances.

Those interested in attending should register online at https://creative.gryphontechnologies.com/darpa/tto/air/pd/. Those seeking to attend should fax their security clearances and visit requests to Amentum at (571) 428-4358. Registration closes on 4 Nov. 2022.

Related: Researchers ask industry for enabling technologies in artificial intelligence (AI) and machine automation

Those attending may meet individually with the Air program manager, Lt. Col. Ryan "Hal" Hefron, on Tuesday 15 Nov. 2022. Email DARPA-SN-2306@ darpa.mil to request an individual session.

One-on-one meetings will be at DARPA at 675 North Randolph St. in Arlington, Va., and will require security clearance. Fax clearance/visit requests to DARPA at (703) 528-3655 or send via encrypted e-mail to VWC@darpa.mil.

Email questions or concerns to Lt. Col. Ryan Hefron at DARPA-SN-23-06@darpa.mil. More information is online at https://sam.gov/opp/1b972abff6de4a2fbf7999af316e52c0/view.

See the article here:

Military researchers to brief industry on artificial intelligence (AI), sensors, and autonomy program - Military & Aerospace Electronics

DENVER--(BUSINESS WIRE)--AMP Robotics Corp. (AMP), a pioneer in artificial intelligence (AI), robotics, and infrastructure for the waste and recycling industry, is developing an AI-powered automation solution to improve recovery of film and flexible packaging. This first-of-its-kind innovation for materials recovery facilities (MRFs) aims to tackle the persistent challenge of film contamination.

A mere 1 percent of U.S. households have curbside access for recycling film and flexible packaging today, estimates The Recycling Partnership. Yet film and flexibles comprise the fast-growing and second-largest valued packaging segment, behind only corrugated containers and ahead of bottles and other rigid plastic packaging. Close to 95 pounds of these materials, including grocery and storage bags, pouches, and wrappers, are found in the average U.S. home each year.

The recycling industry lacks infrastructure for the identification and separation of film and flexible packaging, and these materials jam MRF equipment not designed to handle it. Even 2 to 3 percent film in overall MRF streams can be unmanageable to remove manually, often damaging equipment, necessitating downtime, and hindering recovery of recyclables. Film and flexible packaging find their way into every line in a MRF, resulting in high levels of contamination. But most of these materials, given their light weights, make their way onto fiber lines. Film contamination degrades fiber bale purity, leading to revenue loss or the need for additional post-processing downstream.

AMPs solution, AMP Vortex, is the industrys first AI-powered automation system for film removal and recovery in MRF environments. AMPs system targets film contamination and is initially optimized for quality control on fiber lines. Vortex provides the industry with the most flexible and adaptable solution targeting film; it can be deployed as a retrofit solution in various configurations to accommodate different belt sizes and inclines.

Innovation and infrastructure improvements are vital to helping MRFs process this challenging, prolific material type and increase recycling rates for residential film and flexible packaging, said Matanya Horowitz, founder and CEO of AMP Robotics. AI is laying the groundwork to reduce the contamination burden on MRFs and scale the recycling of film and flexible packaging.

Because these materials are complicated and expensive to reprocess into raw materials, end markets for film and flexible packaging have been limited. While flexible packaging has been almost uniformly single-use, major brands continue to make commitments to use more recycled content in their products, and several states have recently adopted laws aimed at ramping up the use of post-consumer resin in plastic products and packaging. AMP is developing Vortex to target and recover film and flexible packaging for baling and selling.

Amanda Marrs, senior director of product for AMP Robotics, added, With our latest technology innovation for more efficient, profitable recycling operations, we aim to boost recovery and drive demand for products manufactured from recycled film and flexibles to develop and support end markets. This effort is key to addressing the plastic waste crisis and diverting millions of tons of recoverable material from landfills annually.

Vortex emerged from AMPs Customer Innovation Program (CIP), a technology program focused on collaborating with industry stakeholders to develop new AI-enabled automation applications for the recycling industry. Vortex is among a portfolio of new products and performance features AMP is developing for pilot and commercial release in support of increased recycling efficiency and improved cost-effectiveness for MRFs and converters.

In alignment with its efforts to economically recover this material type, AMP is a member of The Recycling Partnerships Film and Flexibles Recycling Coalition, part of The Partnerships Pathway to Circularity Initiative, a broad group of industry stakeholders seeking to increase curbside collection of film recycling and support end markets for film and flexible products. The Coalitions primary focus in 2022-2023 is proving efficient and effective collection through pilot projects, as well as infrastructure and optimization grants.

AMP has started its pre-release of Vortex to the market, actively working with initial customers on deployment. The company expects to be in full production release in 2023.

About AMP Robotics Corp.

AMP Robotics is modernizing the worlds recycling infrastructure by applying AI and automation to increase recycling rates and economically recover recyclables reclaimed as raw materials for the global supply chain. The AMP Cortex high-speed robotics system automates the identification and sorting of recyclables from mixed material streams. The AMP Neuron AI platform continuously trains itself by recognizing different colors, textures, shapes, sizes, patterns, and even brand labels to identify materials and their recyclability. Neuron then guides robots to pick and place the material to be recycled. Designed to run 24/7, all of this happens at superhuman speed with extremely high accuracy. AMP Clarity provides data and material characterization on what recyclables are captured and missed, helping recycling businesses and producers maximize recovery. With deployments across North America, Asia, and Europe, AMPs technology recovers recyclables from municipal collection, precious commodities from electronic scrap, high-value materials from construction and demolition debris, and valuable feedstocks from organic material.

Read more here:

AMP Robotics Develops Industry's First AI-Powered System for Recovery of Film and Flexible Packaging - Business Wire

There's a lot of talk about how artificial intelligence (AI) is changing the world. And it's true -- AI has already started transforming the healthcare, finance, and manufacturing industries. But there's one area where AI is causing some severe problems: fake reviews.

We spoke with Truely CEO JP Bisson about AI technology and how companies can use it to protect their interests.

BN: How has AI technology impacted the way we live and work?

JB: Artificial intelligence had come a long way since the 50s, when Alan Turing asked, 'Can machines think?' Although no machine has even come close to passing the Turing Test, that question sparked the decades-long research that has brought us AI technology as we know it today.

We are probably unaware of it, but AI is now a considerable part of our everyday lives. We can play a song, turn house lights on and get answers to questions using voice assistants. We get personalized content on our social media feeds and video streaming services. We unlock our phones and open our apps with facial recognition. We get to our destination in self-driven vehicles.

At work, we have software programs that automate operational processes, allowing companies to save resources. We have tools that analyze data, software that measures employee experience, robots that speed up product manufacturing, apps that write content. Recently I have heard of two AI systems in the works -- one that produces realistic visuals and artwork from a description in plain language and another that automates manual tasks in-browser.

It is all so amazing that I can't wait to see what happens next. Still, we must look at AI as a double-edged sword that could cause grave harm if it falls into the wrong hands.

BN: In what ways can AI cause this harm?

JB: We live at an exciting time when almost everything we set our mind to becomes possible, especially with AI technology. But just like I said, people can also use artificial intelligence to harm and destroy the things the technology has helped build.

Case in point: deep learning AI is now used to create deceptive images and videos or deepfakes. AI writing tools have been taught to generate false news and fake reviews. What's scary about all these fakes is that they seem real. To the unsuspecting reader or viewer, they are believably true.

The internet has become a great source of information, and rightfully so. You only need to type a word on any browser, and you'll get pages of results. So you can't blame why people who aren't so discerning believe almost everything they read and see on the web. Unfortunately, the internet has developed into a medium where people no longer necessarily tell the truth.

These untruths have led us to develop a site that would help bring truth back to the internet. We understand how fake reviews hurt not just the product and service providers but also the consumers. Truely's aim is to stop these fake reviews -- which can be mass produced by AI -- and bring the truth back to the internet. And we are fighting fire with fire, using AI technology to identify and remove these fake reviews -- whether written by paid humans or AI-generated -- to give consumers the real score about the products and services we feature on our site.

BN: Can you tell us more about the AI technologies used to create fake reviews, how these technologies work, and how artificial intelligence can filter out fakes?

JB: Generally, artificial intelligence has four components: machine learning (ML), natural language processing (NLP), computer vision, and robotics. Out of those four, people use ML and NLP to generate text.

Machine learning allows computer computers to learn from data without being explicitly programmed. This AI system is based on the idea that machines should be able to learn and improve independently, just like humans.

There are two main types of machine learning:

Under machine learning, we have deep learning, which is a powerful tool for generating text. So you feed a computer a large body of text, and from there, the system learns the distribution of words and grammar rules.

Once the system has learned the rules and what-have-you, it can generate new realistic and coherent text. And yes, this technology has been very helpful in quickly creating written content such as news articles, product descriptions, text summaries, and more. Unfortunately, people also use it to create fake news, reviews, and comments -- which, as we know, can be detrimental not just for businesses who get these fake ratings but for society as a whole.

Natural language processing, on the other hand, is a form of artificial intelligence that allows computers to understand and process human language. This system works by converting human language into a format that computers can understand. AI algorithms are then used to analyze and interpret human language. With these algorithms, a computer can understand the overall meaning of a text, identify named entities, extract key phrases, and even find the sentiment of a text. NLP is becoming more and more commonplace in our everyday lives, with people using it for the same use cases they use ML for.

At Truely, we use these technologies to filter out fake reviews. Our AI analyzes reviews for certain red flags and language patterns, indicating that the reviews are not genuine. It also looks for patterns in the language used. For example, fake reviews often use superlative words to describe a product, while real reviews are more likely to use neutral language. It also uses other clues to identify and filter out fake reviews on the list of software products and services on the Truely site.

The tools we use have proven to be valuable in the fight against fake reviews. As AI technology evolves, I am optimistic that it will become more reliable in weeding out fake reviews.

BN: What does this technology mean for SaaS providers and businesses?

JB: There is only one thing I'm sure of: the world of online reviews is changing. This AI technology is already significantly impacting businesses, especially those that rely heavily on online reviews.

Generally, this AI technology is good news for businesses, as it means they no longer have to worry about the negative impact of fake reviews.

Companies that rely on fake positive reviews to boost their ratings will now be more likely to be exposed, leading to a loss of customer trust and potential legal problems.

Overall, AI that removes fake reviews is a significant development for businesses. Besides exposing fake reviews, it protects the credibility of SaaS firms and other companies.

Photo Credit: Bacho/Shutterstock

Go here to read the rest:

Harnessing the power of AI to combat fake reviews [Q&A] - BetaNews

Organizations now have a rapid, precise, and comprehensive solution for their data matching needs

BOSTON, Oct. 19, 2022 /PRNewswire/ --Syniti,a global leader in enterprise data management, today announced the upcoming availability of its fully cloud-native Syniti Match, the most rapid and precise AI-powered data matching software on the market that supports both party and operational data. Enterprise data is often riddled with errors and consistencies like typos, missing fields, duplications, and name variances. Those errors are compounded when dealing with multiple systems which is increasingly common as organizations continue to modernize legacy operations. Syniti Match is purpose-built to handle data complexity, no matter the shape, source, or type of enterprise data, including customer, ERP, supply chain and business data.

Syniti has replicated the natural intelligence humans use when forming comparisons, and with Syniti Match, can deliver that capability at scale. AI, proprietary phonetic and fuzzy matching algorithms, and context-sensitive lexicons evaluate matches contextually, allowing the software to understand data based on what it is, rather than where it resides in a table. It maximizes matches found while minimizing false positives and can easily scale as business data grows in volume and variety. With a flexible SaaS-based model, Syniti Match can be deployed from anywhere, anytime without installation.

Emily Williams, vice president of product alliances, Syniti, said:""The ability to match both types of data quickly and accurately fills a very necessary gap in the market as it benefits every part of an organization from operations to sales and marketing. With Syniti Match, we are reducing the wasted time spent on the tedious processes of eliminating the duplications and inconsistencies that drive down the quality of your data."

Kevin Campbell, chief executive officer, Syniti, said: "Organizations today simply can't afford to base any decisions on poor quality data. At Syniti, we keep finding new and innovative ways to enable our customers to achieve the accurate and trustworthy data they need to run and grow their businesses."

Jon Severn, circulation director, MJH Lifesciences, said, "MJH Lifesciences is the largest privately held medical media company in the U.S. We have a constant flow of new data sources into our system which makes keeping the data free of duplicates very difficult. Previously, we were de-duping files manually, and spending more time than we would like doing so - and delivering less accurate results. With Syniti Match, our current process is much more accurate, resulting in greater audit compliance and we have reduced incidents of unintentional duplicates."

Register for One Duplicate Is All It Takes: How to Prevent the Bad Data Domino Effect to learn about establishing a proactive data quality strategy and what you should be looking for in a data matching solution.

About Syniti Synitisolves the world's most complex data challenges by uniquely combining intelligent, AI-driven software and vast data expertise to yield certain and superior business outcomes. For over 25 years, Syniti has partnered with the Fortune 2000 to unlock valuable insights that ignite growth, reduce risk and increase their competitive advantage. Syniti's silo-free enterprise data management platform supports data migration, data quality, data replication, master data management, analytics, data governance, and data strategy in a single, unified solution. Syniti is a portfolio company of private equity firm Bridge Growth Partners LLC. Read more atwww.Syniti.com.

SOURCE Syniti

Continue reading here:

Syniti Introduces Syniti Match, the Industry's First AI-Driven Matching Solution to Support Both Party and Operational Data - PR Newswire

LAS VEGAS--(BUSINESS WIRE)--Gradient AI, a leading enterprise software provider of artificial intelligence (AI) solutions in the insurance industry, and Duck Creek Technologies, a leading technology solutions provider to the property and casualty (P&C) insurance industry, today announced integrated AI workers compensation solutions and their first joint customer, Builders Mutual Insurance.

The joint offerings bring Gradient AI's state-of-the art AI solutions to insurance carriers that leverage Duck Creeks platform for their operations. This powerful combination allows underwriters and claims adjusters to uncover and analyze key drivers of workers compensation policy and claim risks, better assess them, and minimize their claims exposure, within the platform they already use.

Builders Mutual Insurance, a leading insurer for the construction industry in the Southeast, has adopted the joint solution to streamline claims, better identify risks and save training time. As adjusters enter their notes into the platform, the AI model learns and becomes even more accurate.

Builders Mutual is also using the solution to address one of the most pressing issues in the insurance industry today, the rising talent shortage. During the next 15 years, 50% of the current insurance workforce will retire; leaving more than 400,000 open positions unfilled, according to the U.S. Bureau of Labor Statistics. It will be challenging to replace these insurance workers leaving a significant talent gap. According to an Aon and Jacobson Group recent study, 53% of P&C insurance companies plan to aggressively hire within the next 12 months.

To address this challenge in its own operations, Builders is using the joint Duck Creek and Gradient AI solution to leverage the knowledge of its most seasoned people and convert it to institutional knowledge. Builders Mutuals agents now have access to the AI model enhanced by the unstructured data from experienced agents notes over many years. This knowledge base allows agents to leverage the experience of a seasoned adjuster that would otherwise have been lost.

Our organization continually looks for ways to give adjusters the tools to help them identify risks and best serve injured workers so they can recover quickly and return to work as soon as possible, said Ken Bunn, vice president of Claims, Builders Mutual Insurance. The integration of Duck Creek and Gradient AI helps with both of those goals, allowing adjusters to work more efficiently and effectively. It also saves us significant time when training new adjusters and helps keep our quality of service consistent as seasoned adjusters retire.

Bunn added, Previously, new adjusters would have to sit beside an experienced adjuster for years to observe how they were handling claims. Now, thanks to this integrated solution, our newest adjusters can learn quickly and have guardrails in place as they are making decisions.

These integrated solutions are delivering a truly reimagined experience for workers compensation underwriting and claims management, said Rohit Bedi, chief revenue officer of Duck Creek. Builders Mutuals adjusters now gain insights from AI solutions that are fully integrated into our Duck Creek platform, which is already a part of their normal workflow. They are getting these insights where they can have the greatest impact, at the point of decision.

The integration of Gradient AIs technology and Duck Creeks platform empower workers compensation underwriting and claims teams to process and prioritize workplace injuries more effectively and efficiently, said Stan Smith, CEO of Gradient. Builders Mutual is an innovator leveraging technology to deliver a better customer experience and achieve a better return on risk."

About Duck Creek Technologies

Duck Creek Technologies (NASDAQ: DCT) is the intelligent solutions provider defining the future of the property and casualty (P&C) and general insurance industry. We are the platform upon which modern insurance systems are built, enabling the industry to capitalize on the power of the cloud to run agile, intelligent, and evergreen operations. Authenticity, purpose, and transparency are core to Duck Creek, and we believe insurance should be there for individuals and businesses when, where, and how they need it most. Our market-leading solutions are available on a standalone basis or as a full suite, and all are available via Duck Creek OnDemand. Visit http://www.duckcreek.com to learn more. Follow Duck Creek on our social channels for the latest information LinkedIn and Twitter.

About Gradient AI

Gradient AI is a leading provider of proven artificial intelligence (AI) solutions for the insurance industry. Its solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. Unlike other solutions that use a limited claims and underwriting dataset, Gradient's software-as-a-service (SaaS) platform leverages a vast dataset comprised of tens of millions of policies and claims. It also incorporates numerous other features including economic, health, geographic and demographic information. Customers include some of the most recognized insurance carriers, MGAs, TPAs, risk pools, PEOs and large self-insureds across all major lines of insurance. By using Gradient AIs solutions, insurers of all types achieve a better return on risk. To learn more about Gradient, please visit: https://www.gradientai.com/.

Read more:

Gradient AI and Duck Creek Technologies Deliver Integrated Workers' Compensation Underwriting and Claims Management Solutions, Leveraging Artificial...

A new model gives wildlife managers the ability to gather the necessary data in a matter of minutes

When states want to gauge quail populations, the process can be grueling, time-consuming and expensive.

It means spending hours in the field listening for calls. Or leaving a recording device in the field to catch what sounds are madeonly to spend hours later listening to that audio. Then, repeating this process until theres enough information to start making population estimates.

But a new model developed by researchers at the University of Georgia aims to streamline this process. By using artificial intelligence to analyze terabytes of recordings for quail calls, the process gives wildlife managers the ability to gather the data they need in a matter of minutes.

A quail whose call was recorded for the study. (Photo by Jessica Mohlman)

The model is very accurate, picking up between 80% and 100% of all calls even in the noisiest recordings. So, you could take a recording, put it through our model and it will tell you how many quail calls that the recorder heard, said James Martin, an associate professor at the UGA Warnell School of Forestry and Natural Resources who has been working on the project, in collaboration with the Georgia Department of Natural Resources, for about five years. This new model allows you to analyze terabytes of data in seconds, and what that will allow us to do is scale up monitoring, so you can literally put hundreds of these devices out and cover a lot more area and do so with a lot less effort than in the past.

The sound recorder used by researchers. (Photo by Kristen Morales)

The software represents about five years of work by Martin, postdoctoral researcher Victoria Nolan and numerous key contributors who have worked with a code writer to create the model. Its also part of a larger shift taking place in the field of wildlife research, where computer algorithms are now assisting with work that once took humans thousands of hours to complete.

Increasingly, computers are getting smarter at, for example, identifying specific noises or certain traits in photos and sound recordings. For researchers such as Martin, it means hours once spent on tasks such as listening to audio or looking at game camera images can now be done by a computer, freeing up valuable time to focus on other aspects of a project.

The new tool can also be a valuable resource for state and federal agencies looking for information on their quail populations, but with limited funds to spend on any one project. So, I think this is something states might jump on as far as replacing their current monitoring with acoustic recording devices, added Martin.

The softwares success was recently documented by the Journal of Remote Sensing in Ecology and Conservation.

As the software gets more use and is exposed to sounds from new geographic areas, Martin said, it gets even smarter. As it is, quail offer several different kinds of calls. But when the software is exposed to a variety of sounds that arent quail, he said, its better able to distinguish the correct calls from the ambient noises of the grasses and trees around them.

Over time, the software will grow more discerning.

So thats why you have to keep giving it training data, and when you move geographies, you encounter new sounds that you didnt train the model for, he added. Its always about adaption.

See original here:

AI answers the call for quail information - University of Georgia

BOSTON--(BUSINESS WIRE)--Cogito, the leader in real-time coaching and guidance for the enterprise, announced a new and enhanced solution targeted at improving the employee experience for frontline teams. The Personalized Coaching features are designed to better support employees in handling complex customer service inquiries and focus on professional development based on each agent's skills.

Contact center coaching has historically relied on qualitative, anecdotal feedback from small teams of overwhelmed managers, fewer quality assurance (QA) resources and limited customer surveys assessing less than 1% of calls. This process is notoriously labor intensive for supervisors who must randomly select calls and subjectively evaluate the themes and skills of their agents. To alleviate challenges from this tedious process and limited perspective, and to better meet the needs of todays digitally native and increasingly remote workforce, Cogito developed its Personalized Coaching solution, where data-driven and robust feedback is delivered on 100% of their calls.

The Personalized Coaching dashboard reviews speaking behaviors across emotion cues and key conversation topics pertinent to the contact center context. All calls are reviewed with specific targets automatically identified, an approach that gives supervisors more time to focus on developing their team skills. The product leverages artificial intelligence (AI) to evaluate agents unique skills and needs, regardless of their physical office environment. It provides direct feedback on their progress toward individualized goals and rewards agents with positive recognition from team leaders.

Well-being has always been at the heart of our technology, creating solutions that equip individuals with real-time emotional intelligence and insights to improve their ability to deliver more caring, differentiated experiences, said Joshua Feast, CEO and Co-Founder of Cogito. As we navigate a changing workforce, we expect to place a more considerable emphasis on the applications of data to improve frontline employee experiences and, consequently, the interaction between agents and customers. Cogito ensures enterprise frontline teams are equipped with resources to enhance and improve these human interactions with the tools and guidance that empower humans.

Key Features of the Personalized Coaching solution include:

For more information on Cogitos latest product enhancements, click here.

About CogitoCogito innovates with emotion and conversation AI to deliver real-time coaching and guidance to contact centers and frontline teams. Cogito supports agents and supervisors to improve effectiveness, experience, and empathy by providing human-aware and human-empowering insights. The worlds most well-known brands, including 8 of the Fortune 25, use Cogito to improve their connection with customers and elevate team members' well-being. Founded in 2007, Cogito is a venture-backed software company based in Boston, MA. Learn more at cogitocorp.com.

Follow Cogito on LinkedIn and Twitter.

See original here:

Cogito Announces an AI-Informed Personalized Coaching Solution to Support Frontline Professional Development - Business Wire

BOSTON--(BUSINESS WIRE)--Digital.ai today unveiled the Banff release of its AI-Powered DevOps Platform, featuring expanded intelligence, automation and collaboration, to further help companies accelerate digital transformation. The new version makes it possible for public sector and enterprise organizations to accelerate delivery while managing risk, all with a focus on driving maximum value from software investments.

At the heart of the AI-Powered DevOps Platform is its Intelligence capabilities which aggregate customer data spanning the entire software development and delivery lifecycle, automatically creating an industry-leading DevOps data lake. This data lake creates a single source of truth for an organization's software investments across the full lifecycle from planning and into production. Customers gain real-time insights, historical trend analysis and predictability in augmented analytic dashboards. This contextual data allows organizations to observe top level trends across the enterprise and quickly drill down to the team and individual levels to drive successful business outcomes. This release includes further expansion of Digital.ais machine learning and artificial intelligence solutions, allowing customers to move past historical trends to predictive, actionable insights.

"We are investing significantly in AI and machine learning across all domains of IT, and a good example of this commitment is our partnership with Digital.ai, said the CIO of Enterprise Infrastructure and Operations at one of the country's largest financial services companies. By using Digital.ai's AI-driven Change Risk Prediction module we've been able to reduce business impact caused by change activity, increase the success of change releases and accelerate delivery of low-risk changes -- ultimately freeing our developers to be more productive. We've been encouraged by these results and we plan to deploy additional Digital.ai features, such as Incident Topic Clustering and Change Impact Detection.

Both private and public sector organizations are under increased pressure to manage overall costs and optimize existing software investments in an uncertain economic climate. At the same time, the need to develop and deliver secure, high-quality, innovative software releases at scale remains a business imperative. This situation is fueling global demand for software delivery platforms like Digital.ais AI-Powered DevOps Platform. Digital.ai solutions are currently being used by more than a thousand organizations worldwide including more than 50% of the Fortune 500 and the companys technology protects 5+ billion app endpoints.

Software strategy now underpins every business strategy and business leaders need to navigate global economic uncertainty with agility, automation and security, said Stephen Elop, CEO of Digital.ai. We are truly excited to be delivering to our customers our latest release that removes the mystery and complexities in mapping software investments to topline business goals and priorities. Digital.ai believes that the future of enterprise DevOps is being able to turn data into actionable, predictive insights.

Digital.ai solutions can be easily integrated into existing processes, applications and infrastructure to optimize existing investments while propelling innovation and bringing greater visibility and insight across the entire software architecture and ecosystem.

Harness the Deflationary Force of Software by Delivering Better Releases

New enhancements include:

Improved Software Delivery Insights

A More Comprehensive DevOps Ecosystem

More Secure and Higher Quality Applications

AvailabilityThe Banff version of Digital.ais AI-Powered DevOps Platform is generally available today. To learn more about all the latest capabilities or to view solution-focused videos please visit: https://digital.ai/digital-transformation-platform. To read the blog post with more details, please visit: https://digital.ai/catalyst-blog/banff-release.

About Digital.aiDigital.ai is an industry-leading technology company dedicated to helping Global 5000 enterprises achieve digital transformation goals. The company's AI-powered DevOps platform unifies, secures and generates predictive insights across the software lifecycle. Digital.ai empowers organizations to scale software development teams, and continuously deliver software with greater quality and security while uncovering new market opportunities and enhancing business value through smarter software investments. Additional information about Digital.ai can be found at https://digital.ai and on Twitter, LinkedIn and Facebook.

View post:

Digital.ai Introduces New Version of Its AI-Powered DevOps Platform That Empowers Large Organizations to Innovate Through Global Economic Shifts -...

Business sectors ranging from agriculture and manufacturing to automotive and financial services are increasingly turning to artificial intelligence as a means to automate large swaths of their organizationsand, along the way, save enormous sums through improved efficiencies.

But, says Megathreats' Author and NYU Stern School of Business professor Nouriel Roubini, the rise of AI will also have a massively negative impact on workers throughout the economy.

AI has helped revolutionize everything from the smartphones in our pockets to our grocery stores, which use the technology to better predict which items customers want to see on shelves. However, Roubini, whose prediction of the 2008 financial crisis earned him the moniker Dr. Doom, says AI poses a threat to millions of workers.

The downside is that while AI, machine learning, robotics, automation increases the economic pie, potentially, it also leads to losses of jobs and labor income, Roubini said during an interview at Yahoo Finances All Markets Summit.

Take autonomous cars. While they could dramatically reduce the number of car accidents, significantly cutting down on the number of deaths and injuries caused on the nations roadways, theyll also put millions out of work. You have, what, 5 million Uber and Lyft drivers, 5 million truckers and teamsters, and theyre going to be gone for good, Roubini said. And which jobs are they going to get?

CERNOBBIO, ITALY - SEPTEMBER 07: Nouriel Roubini professor of economics at New York University attends the Ambrosetti International Economic Forum 2019 "Lo scenario dell'Economia e della Finanza" on September 6, 2019 in Cernobbio, Italy. (Photo by Pier Marco Tacca/Getty Images)

Fully autonomous vehicles are still years away from hitting the roads. The majority of the technology thats currently available is meant to assist drivers rather than actually control vehicles themselves. But automakers have made it clear that they are intent on developing the technology to the point where theres no need for a driver at all.

But according to Roubini, its not just drivers and truckers who might be at risk of losing their jobs. As AI becomes more powerful, it could be used to replace workers in creative fields including the arts.

Story continues

Increasingly, even cognitive jobs that can be divided into a number of tasks are also being automated, Roubini said. Even creative jobs; there are now AIs that will create a script or a movie, or make a poem, or write...or paint, or even [write] a piece of music that soon enough is going to be top 10 in the Billboard Magazine chart.

While it might be some time before AI is winning any major awards or art prizes, if ever, it is being used to create digital art. Take the open-source DALL-E, which allows users to type in a series of words and get an image based on millions of photos pulled from the internet.

While artists are unlikely to disappear anytime soon, the fact that AI is racing into once unimaginable sectors of the economy could eventually mean Roubini's prognostications, like some of his others, will prove true.

Sign up for Yahoo Finance's Tech newsletter

More from Dan

Got a tip? Email Daniel Howley at dhowley@yahoofinance.com. Follow him on Twitter at @DanielHowley.

Click here for the latest technology business news, reviews, and useful articles on tech and gadgets

Read the latest financial and business news from Yahoo Finance

View original post here:

Nouriel Roubini: Why AI poses a threat to millions of workers - Yahoo Finance

Using data collected from patients vital signs, University of Florida researchers have designed an artificial intelligence system that can accelerate and focus doctors decision-making during the crucial, early stages of hospitalization.

The algorithm works by taking torrents of data from six vital signs measured within six hours of hospital admission. It then focuses these data into one of four distinct clusters, giving doctors clearer, timelier and more accurate insight into a patients prognosis and likely medical outcomes. The findings were published Oct. 13 in the journal PLOS Digital Health.

The approach uses artificial intelligence to analyze patient data faster and more thoroughly than physicians, said Azra Bihorac, M.D.,senior associate dean for research affairs at theUF College of Medicine and director of UFsIntelligent Critical Care Center. Within hours, the system can identify patients who may be at risk of poor outcomes.

This system has the potential to speed up doctors decision-making as well as make it more accurate, Bihorac said.

The findings are the result of a collaboration among a dozen UF researchers with expertise in surgery, computer science, medicine, anesthesiology and biomedical engineering.

To evaluate the system, the researchers used a deidentified database of adult patients who were admitted to UF Health Shands Hospital between 2014 and 2016. The algorithm was validated and tested using data from nearly 100,000 people across all age groups.

When machine learning, a type of artificial intelligence, was applied to routine, early vital-sign data, the system identified patients with unique disease categories and distinct clinical outcomes. The patients were then grouped into one of four distinct clusters. Patients assigned to one of the clusters showed early signs of low blood pressure, increased heart activity and low-grade inflammation. While these conditions can be severe in their early stages, they also have the potential to resolve and result in favorable outcomes. The algorithm grouped other patients into another cluster most likely to have chronic kidney and cardiovascular disease. They were also more likely to die within three years, the researchers found.

The algorithms value lies in its ability to collect and quickly analyze multiple patient data points, Bihorac said. For instance, low blood pressure can be an early indicator of various medical troubles ahead. When combined with other patient data and analyzed by an algorithm, doctors have a clearer picture of the patients trajectory.

Its really like an early warning sign. Within six hours, it can help identify patients who may be at risk of not having a good outcome. It tells us which patients may be at risk of deteriorating and who needs more attention right away, she said.

Next, Bihorac said she is seeking additional grants that will allow the team to further study the system and eventually test its effectiveness in currently hospitalized patients. Such a system could likely be deployed without significant cost, she said.

This is such a simple and elegant solution. It takes data that are already being collected and uses it to its full potential to benefit the patient, Bihorac said.

Colleagues from the UF Intelligent Critical Care Center who made notable contributions to the research include Yuanfang Ren, Ph.D., a computer science expert and assistant scientist in the UF College of Medicine; Tyler J. Loftus, M.D., an assistant professor in the department of surgery; and Gilbert R. Upchurch, M.D., a professor and chair of the department of surgery, Bihorac said.

The research was supported by multiple National Institutes of Health grants, the National Science Foundation and the University of Florida.

Media contact: Doug Bennett, dougbennett@ufl.edu,352-265-9400

See the original post:

UF researchers' AI system gives doctors better insight into patients' conditions - UF Health News