To gain a better understanding of how ChatGPT works under the hood, Santiago Ortiz repeatedly passed the prompt Intelligence is to the chatbot. Then he visualized the statistical paths to get to a response using a 3-D network. If you squint, the network kind of looks like a computers brain.
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Visualizing the statistical connections behind ChatGPT - FlowingData
Highmark Health is working with Epic and Google Cloud to support payer-provider coordination.
Epics Payer Platform improves collaboration between health insurers and health providers, the companies said in a Monday (Feb. 26) news release. Now, by connecting to Google Cloud, the insights shared with payers and providers can be used to inform consumers of the next best actions in their care journeys.
The Epic platform allows for better payer-provider collaboration by driving automation, faster decision-making and better care while lowering burdens and fragmentation, according to the release.
Google Clouds data analytics technologies, meanwhile, can help facilitate insights shared with provider partner organizations using Epic, Highmark health plan staff, and Highmark members through other integrated digital channels like the My Highmark member portal.
Highmark Healths use of Google Cloud will enable the organization to create an intelligence system equipped with AI to deliver valuable analytics and insights to healthcare workers, patients and members, said Amy Waldron, director of healthcare and life sciences strategy and solutions at Google Cloud. Highmark Healths investment in cloud technology is delivering real-time value and simplifying communications; its redefining the provider and consumer experience.
As PYMNTS wrote late last year, the intersection of AI and healthcare was one of 2023s more exciting developments, with generative AI finding its way into areas ranging from medical imaging and pathology to electronic health record data entry.
PYMNTS Intelligence found that the generative AI healthcare market is expected to reach $22 billion by 2032, providing several possibilities for improved patient care, diagnosis accuracy and treatment outcomes.
Many of the latest AI innovations, including those aimed at helping doctors pull insights from healthcare data and allow users to find accurate clinical information more efficiently, are designed to help put clinician pajama time the time spent on paperwork after shifts are ostensibly over to rest.
These problems typically cost providers significant amounts of time and resources, and a variety of point-solutions were brought to market this year to address them, PYMNTS wrote in December.
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Highmark Teams With Google on AI-Powered Health Partnership - PYMNTS.com
AI is redefining digital transformation for every industry, including telecommunications. Every operators AI journey will be distinct. But each AI journey requires cloud-native transformation, which provides the foundation for any organization to harness the full potential of AI, driving innovation, efficiency and business value.
This new era of AI will create incredible economic growth and represent a profound shift as a percentage impact on global GDP, which is just over $100 trillion. So, when we look at the potential value driven by this next generation of AI technology, we may see a boost to global GDP of an additional $7 trillion to $10 trillion.
Embracing AI will help operators unlock new revenue streams, deliver superior customer experiences and pioneer future innovations for growth.
Operators can now leverage cloud services that are adaptive, purpose-built for telecommunications and span from near edge on-premises environments to the far edges of Earth and space to monetize investments, modernize networks, elevate customer experiences and streamline business operations with AI.
Our aim is to be the most trusted co-innovation partner for the telecommunications industry. We want to help accelerate telco transformation and empower operators to succeed in the era of AI, which is why we are committed to working with operators, enterprises and developers on the future cloud.
At MWC in Barcelona this week, we are announcing updates to our Azure for Operators portfolio to help operators seize the opportunity ahead in a cloud- and AI-native future.
AI opens new growth opportunities for operators. The biggest potential is that operators, as they embrace this new era of cloud and AI, can also help their customers in their own transformation.
For example, spam calls and malicious activities are a well-known menace and are growing exponentially, and often impact the most vulnerable members of society. Besides the annoyance, the direct cost of those calls adds up. For example, in the United States, FTC data for 2023 shows $850 million in reported fraud losses stemming from scam calls.
Today, we are announcing the public preview of Azure Operator Call Protection, a new service that uses AI to help protect consumers from scam calls. The service uses real-time analysis of voice content, alerting consumers who opt into the service when there is suspicious in-call activity. Azure Operator Call Protection works on any endpoint, mobile or landline, and it works entirely through the network without needing any app installation.
In the U.K., BT Group is trialing Azure Operator Call Protection to identify, educate and protect their customers from potential fraud, making it harder for bad actors to take advantage of their customers.
We are also announcing the public preview of Azure Programmable Connectivity (APC), which provides a unified, standard interface across operators networks. APC provides seamless access to Open Gateway for developers to create cloud and edge-native applications that interact with the intelligence of the network. APC also empowers operators to commercialize their network APIs and simplifies their access for developers and is available in the Azure Marketplace.
AI opens incredible opportunities to modernize network operations, providing new levels of real-time insights, intelligence and automation. Operators, such as Three UK, are already using Azure Operator Insights to eliminate data silos and deliver actionable business insights by enabling the collection and analysis of massive quantities of network data gathered from complex multi-vendor network functions. Designed for operator-specific workloads, operators tackle complex scenarios with Azure Operator Insights, such as understanding the health of their networks and the quality of their subscribers experiences.
Azure Operator Insights uses a modern data mesh architecture for dividing complex domains into manageable sub-domains called data products. These data products integrate large datasets from different sources and vendors to provide data visibility from disaggregated networks for comprehensive analytical and business insights. Using this data product factory capability, operators, network equipment providers and solution integrators can create unique data products for one customer or published to the Azure Marketplace for many customers to use.
Today, we are also announcing the limited preview of Copilot in Azure Operator Insights, a groundbreaking, operator-focused, generative AI capability helping operators move from reactive to proactive and predictive in tangible ways. Engineers use the Copilot to interact with network insights using natural language and receive simple explanations of what the data means and possible actions to take, resolving network issues quickly and accurately, ultimately improving customer satisfaction.
Copilot in Azure Operator Insights is delivering AI-infused insights to drive network efficiency for customers like Three UK and participating partners including Amdocs, Accenture and BMC Remedy. Three UK is using Copilot in Azure Operator Insights to unlock actionable intelligence on network health and customer experience quality of service, a process that previously took weeks or months to assess, is now possible to perform in minutes.
Additionally, with our next-generation hybrid cloud platform, Azure Operator Nexus, we offer the ability to future-proof the network to support mission-critical workloads, and power new revenue-generating services and applications. This immense opportunity is what drives operators to modernize their networks with Azure Operator Nexus, a carrier-grade, hybrid cloud platform and AI-powered automation and insights unlocking improved efficiency, scalability and reliability. Purpose-built for and validated by tier one operators to run mission-critical workloads, Azure Operator Nexus enables operators to run workloads on-premises or on Azure, where they can seamlessly deploy, manage, secure and monitor everything from the bare metal to the tenant.
E& UAE is taking advantage of the Azure Operator Nexus platform to lower total cost of ownership (TCO), leverage the power of AI to simplify operations, improve time to market and focus on their core competencies. And operations at AT&T that took months with previous generations of technology now take weeks to complete with Azure Operator Nexus.
We continue to build robust capabilities into Azure Operator Nexus, including new deployment options giving operators the flexibility to use one carrier-grade platform to deliver innovative solutions on near-edge, far-edge and enterprise edge.
Read more about the latest Azure for Operator updates here.
Operators are creating differentiation by collaborating with us to improve customer experiences and streamline their business operations with AI. Operators are leveraging Microsofts copilot stack and copilot experiences across our core products and services, such as Microsoft Copilot, Microsoft Copilot for M365 and Microsoft Security Copilot to drive productivity and improve customer experiences.
An average operator spends 20% ofannual revenue on capital expenditures.However, this investment does nottranslate into an equivalentincrease in revenue growth. Operators need to empower their service teams with data-driven insights to increase productivity, enhance care, use conversational AI to enable self-service, expedite issue resolution and deliver frictionless customer experiences at scale.
Together with our partner ecosystem, we are investing in creating a comprehensive set of solutions for the telecommunications industry. This includes the Azure for Operators portfolio a carrier-grade hybrid cloud platform, voice core, mobile core and multi-access edge compute, as well as our suite of generative AI solutions that holistically address the needs of network operators as they transform their networks.
As customers continue to embrace generative AI, we remain committed to working with operators and enterprises alike to future-proof networks and unlock new revenue streams in a cloud- and AI-native future.
Tags: AI, Azure for Operators, Azure Operator Call Protection, Azure Operator Insights, Azure Operator Nexus, Copilot in Azure Operator Insights
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Accelerating telco transformation in the era of AI - The Official Microsoft Blog - Microsoft
Researchers have uncovered a previously unknown hacker group that uses simple and dated attack methods to target governments and businesses in the Asia-Pacific region.
Called GambleForce, the group has been active since September and has mainly targeted the gambling industry, according to the report by Singapore-based cybersecurity firm Group-IB.
GambleForce broadened its focus in recent months to include government, retail, and travel websites. As of now, it has 20 known victims in its portfolio, primarily located in Australia, China, Indonesia, the Philippines, India, South Korea, Thailand, and Brazil.
The attackers use a set of publicly available open-source tools designed for penetration-testing. They havent employed any unique modifications and keep almost all default settings on the tools.
They primarily infect their victims using SQL injections a type of cyberattack where an attacker manipulates a web application's database queries by injecting malicious SQL code. Researchers say this is one of the oldest attack methods, yet many companies are still susceptible to it.
SQL attacks persist because they are simple by nature, the researchers said. Companies remain susceptible to such attacks because they fail to address fundamental flaws.
The goal of GambleForces attacks is unclear. In some instances, the attackers stopped after performing reconnaissance, while in other cases, they successfully extracted user databases containing logins and hashed passwords, along with lists of tables from accessible databases, according to the researchers.
The threat actor attempts to exfiltrate any available piece of information within targeted databases, the report said. What the group does with the stolen data remains unknown so far.
After discovering GambleForce's malicious activity, the researchers took down its command and control server. However, they believe that the hackers will most likely regroup and rebuild their infrastructure to launch new attacks.
Group-IB didnt attribute this group to a specific country but said that they found commands written in Chinese. This fact alone is not, however, enough to determine the groups origin, researchers said.
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Daryna Antoniuk is a freelance reporter for Recorded Future News based in Ukraine. She writes about cybersecurity startups, cyberattacks in Eastern Europe and the state of the cyberwar between Ukraine and Russia. She previously was a tech reporter for Forbes Ukraine. Her work has also been published at Sifted, The Kyiv Independent and The Kyiv Post.
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