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Artificial Intelligence

Databricks Unveils New Mosaic AI Capabilities to Help Customers Build Production-Quality AI Systems and Applications

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Empowering customers to accelerate the application, quality iteration, and productionization of Generative AI across their businesses
SAN FRANCISCO, June 12, 2024 /PRNewswire/ — Databricks, the Data and AI company, today announced several innovations to Mosaic AI to help customers build production-quality Generative AI applications. Databricks is investing in Mosaic AI in three key areas: support for building compound AI systems, capabilities to improve model quality, and new AI governance tools. The resulting innovations will give customers the confidence to build and measure production-quality applications, delivering on the promises of Generative AI for their business.

Organizations are struggling to transition Generative AI projects from pilot to full-scale production due to privacy, quality, and cost concerns. While foundation models have all significantly improved, they still struggle to produce high-quality results. The highest-performing models may still give responses that are inaccurate, unsafe, or expose confidential data. To address these challenges, organizations are going beyond deploying one extremely large model to deploying compound AI systems. This approach uses multiple components, including various models, retrievers, vector databases, and tools for evaluation, monitoring, security, and governance. As a result, compound AI systems offer much higher production quality, allowing organizations to deliver more accurate, safe, and governed AI applications efficiently.
“We believe that compound AI systems will be the best way to maximize the quality, reliability, and measurement of AI applications going forward, and may be one of the most important trends in AI in 2024,” says Matei Zaharia, Co-founder and CTO at Databricks. “Databricks is uniquely positioned to capitalize on these trends with the investments we’re making to improve quality, augmenting the model with real-time data and agents and tools to give it new capabilities it has little knowledge of.”
To help customers build production-quality Generative AI applications, Databricks is launching Mosaic AI Agent Framework, Mosaic AI Agent Evaluation, Mosaic AI Tools Catalog, Mosaic AI Model Training, and Mosaic AI Gateway.
Mosaic AI Agent Framework and Mosaic AI Tools Catalog help organizations build compound AI systems
Databricks is introducing several new capabilities to help customers deploy enterprise-ready compound AI systems. RAG is a type of compound AI system, because it uses multiple components like a vector database, and tools for monitoring, evaluation, security, and governance to improve the accuracy of the LLM. Last month, Databricks announced the general availability of Mosaic AI Vector Search as a serverless vector database seamlessly integrated in the Data Intelligence Platform. Today, Databricks announces Mosaic AI Agent Framework, which makes it easy for developers to quickly and safely build high-quality RAG applications, using foundation models and their enterprise data. They can evaluate the quality of their RAG application with Mosaic AI Agent Evaluation, iterate quickly, and redeploy their application easily. Mosaic AI Agent Evaluation is an AI-assisted evaluation tool that automatically determines if outputs are high-quality and provides an intuitive UI to get feedback from human stakeholders. Collectively, these capabilities help organizations to deploy production-quality Generative AI solutions.
Compound AI systems often take advantage of tools as functions that equip these systems with new capabilities to interact with the world, such as intelligently generating and executing code, searching the web, calling APIs, and more. Mosaic AI Tools Catalog lets organizations govern, share, and register tools using Databricks Unity Catalog. This ensures models that are tool-enabled can use these in a secure and governed manner, as well as making these tools discoverable across the organization.
Mosaic AI Model Training enables fine-tuning for foundation models, increasing model quality and decreasing cost
Mosaic AI Model Training fine-tunes open source foundation models with an organization’s private data, giving it new knowledge that is specific to its domain or task. These fine-tuned models are fully owned and controlled by the customer and produce higher-quality results for specific use cases because they have been trained on the organization’s private data for specialized tasks. In addition to being more accurate for specific domains, smaller models fine-tuned by Model Training are also faster and less expensive to serve than larger proprietary models because they have fewer parameters and require less computing power.
Mosaic AI Gateway offers governance across all your GenAI apps and models
Mosaic AI Gateway provides a unified interface to query, manage, and deploy any open source or proprietary model, enabling customers to easily switch the large language models (LLMs) that power their applications without needing to make complicated changes to the application code. It supports usage tracking and guardrails, letting organizations track who is calling the model, set up rate limits to control spending from their enterprise users, and filter for safety and personally identifiable information (PII) regardless of which model is being used. Finally, it offers built-in governance and monitoring to continuously help ensure quality.
“Corning is a materials science company — our glass and ceramics technologies are used in many industrial and scientific applications, so understanding and acting on our data is essential. We built an AI research assistant using Databricks Mosaic AI Agent Framework to index hundreds of thousands of documents including US patent office data,” said Denis Kamotsky, Principal Software Engineer at Corning. “Having our LLM-powered assistant respond to questions with high accuracy was extremely important to us — that way, our researchers could find and further the tasks they were working on. To implement this, we used Databricks Mosaic AI Agent Framework to build a Generative AI solution augmented with the US patent office data. By leveraging the Databricks Data Intelligence Platform, we significantly improved retrieval speed, response quality, and accuracy.”
“FordDirect is on the leading edge of the digital transformation of the automotive industry. We are the data hub for Ford and Lincoln dealerships, and we needed to create a unified chatbot to help our dealers assess their performance, inventory, trends, and customer engagement metrics. Databricks Mosaic AI Agent Framework allowed us to integrate our proprietary data and documentation into our Generative AI solution that uses RAG,” said Tom Thomas, VP of Analytics at FordDirect. “The integration of Mosaic AI with Databricks Delta Tables and Unity Catalog made it seamless to our vector indexes real-time as our source data is updated, without needing to touch our deployed model.”
“As a leading global manufacturer, Lippert leverages data and AI to build highly-engineered products, customized solutions and the best possible experiences,” said Kenan Colson, VP Data & AI at Lippert. “Mosaic AI Agent Framework has been a game-changer for us, because it allowed us to evaluate the results of our GenAI applications and demonstrate the accuracy of our outputs while maintaining complete control over our data sources. Thanks to the Databricks Data Intelligence Platform, I’m confident in deploying to production.”
Availability
Mosaic AI Agent Framework, Mosaic AI Agent Evaluation, Mosaic AI Model Training, and Mosaic AI Gateway are now in public preview. Mosaic AI Tools Catalog is in private preview. For more information, please visit: https://www.databricks.com/product/machine-learning
About DatabricksDatabricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on LinkedIn, X and Facebook.
Contact: [email protected]
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Artificial Intelligence

InterSystems TrakCare and InterSystems IRIS for Health to underpin deployment of fully unified future-ready AI-driven healthcare ecosystem at NEOM

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RIYADH, Saudi Arabia, July 24, 2024 /PRNewswire/ — InterSystems, a creative data technology provider dedicated to helping customers solve their most critical scalability, interoperability, and speed challenges, and NEOM, the sustainable development taking shape in northwest Saudi Arabia, today announced a groundbreaking partnership to revolutionize the healthcare experience within NEOM.

The partnership enables NEOM to deploy InterSystems TrakCare® across its healthcare facilities, which currently include one hospital and 41 clinics. TrakCare is a unified health information system that provides clinical, administrative, and financial information as a single source of truth for each patient and offers enhanced clinical decision support capabilities.
Additionally, by the end of 2024 InterSystems IRIS® for Health will centralize NEOM’s clinical application data to facilitate the development of innovative health programs. InterSystems IRIS for Health is a comprehensive, cloud-first digital health development platform that provides all the building blocks needed for Machine Learning and to work with practically any healthcare data standard, including HL7® FHIR®.
By adding IRIS for Health to their health ecosystem NEOM will significantly enhance the overall individual’s experience and move towards realizing NEOM’s ‘one patient, one record’ approach.
As a flexible and powerful healthcare information system TrakCare equips NEOM with extensive data capabilities, and as a digital health development platform IRIS for Health facilitates NEOM’s use of Artificial Intelligence (AI) driven technology. Combining these offerings empowers healthcare providers to make better informed decisions that optimize operations effectively for world-class healthcare services.
“This partnership marks a significant milestone in our mission to advance healthcare through innovative technology,” said Ali Abi Raad, Country Manager for the Middle East, India, and South Africa, InterSystems. “We are proud to support NEOM and their vision of building a digitally integrated healthcare ecosystem and becoming a global leader in health and well-being.”
“The partnership with InterSystems is a significant milestone in realizing our digital first and personalized prevention focused healthcare system. To realize this vision, we need flexible and data standards driven technology partners who are committed to our ‘one patient, one record’ approach.” – Dr Mahmoud Alyamany, Sector Head, NEOM Health & Wellbeing.
About InterSystems
Established in 1978, InterSystems is the leading provider of next-generation solutions for enterprise digital transformations in the healthcare, finance, manufacturing, and supply chain sectors. Its cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems is committed to excellence through its award-winning, 24×7 support for customers and partners in more than 80 countries. Privately held and headquartered in Cambridge, Massachusetts, InterSystems has 39 offices in 28 countries worldwide. For more information, please visit InterSystems.com.
About NEOM
NEOM is an accelerator of human progress and a vision of what a new future might look like. It is a region in northwest Saudi Arabia on the Red Sea being built from the ground up as a living laboratory – a place where entrepreneurship will chart the course for this new future. It will be a destination and a home for people who dream big and want to be part of building a new model for exceptional livability, creating thriving businesses and reinventing environmental conservation.
NEOM will include hyperconnected, cognitive cities, ports and enterprise zones, research centers, sports and entertainment venues and tourist destinations. As a hub for innovation, entrepreneurs, business leaders and companies will come to research, incubate, and commercialize new technologies and enterprises in groundbreaking ways. Residents of NEOM will embody an international ethos and embrace a culture of exploration, risk-taking and diversity.
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Artificial Intelligence

Zesty Introduces Cloud Insights and Automation Platform To Ensure Optimization and Cloud Operational Excellence

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With prescriptive insights and AI automation for cloud infrastructure management for multiple CSPs, Zesty’s platform makes it simple to optimize cloud spending and performance, improve utilization rates, and create new opportunities for FinOps and DevOps teams
SAN MATEO, Calif., July 24, 2024 /PRNewswire/ — Zesty, a leader in automated cloud infrastructure management, announced today the launch of its Insights and Automation Platform. Designed to support a multi-cloud strategy and transform cloud challenges into opportunities for FinOps and DevOps teams, the platform optimizes cloud spending and improves utilization rates with prescriptive insights and automation, empowering companies to focus on innovation, not cloud or budget management.

As global innovation drives continuous exponential cloud growth, more than half of CIOs have reported an increase in their IT budget for this year specifically to enhance their capacity for financing new projects. Overseeing multiple vendors, intricate cost structures, and ever-evolving company needs have created enormous complications for companies as they scale and budget. While R&D teams prioritize leveraging cloud services to drive innovation and competitive advantage, Finance teams focus on controlling costs and ensuring budget adherence.
Zesty’s platform incorporates new insights to drastically simplify SMB and enterprise cloud cost management by prioritizing the highest value recommendations for FinOps teams. For example, the recommendations focused on reducing unused resources alone can help companies cut costs by 7%, which in some cases represents millions of dollars annually. The platform also hosts Zesty’s AI-driven flagship solutions, Commitment Manager and Zesty Disk, which automatically scale cloud resources up and down and identify potential savings across services. Zesty’s integration of insights and automation ensures that cloud investments consistently align with evolving business objectives with even greater efficiency and savings.
“CIOs are constantly exploring avenues to finance new projects. The Zesty Insights and Automation Platform will play a pivotal role in identifying areas of waste and help to free those funds for innovative projects. Machine learning capabilities and predictive analytics are driving serious returns for FinOps teams, with some of our customers recovering over a million dollars a year from cloud waste and using that to amplify innovation,” said Maxim Melamedov, CEO and Co-Founder of Zesty. “Our mission is to help businesses easily eliminate cloud-related waste in all its forms, financial, cloud resources, environmental, and time. Our platform comes at a critical time given the industry’s urgent need for effective financial management of cloud operations. Companies across all industries are desperate for a guide on their FinOps journey, and we are excited to be able to help.”
Zesty sets a new standard for the fragmented FinOps industry, providing a unified and efficient approach to cloud management, transforming visibility into action with prescriptive insights and automation, optimizing services such as AWS’ EC2, EBS, RDS, S3, ELB, EIP, and Azure’s Virtual Machines. Fueling its commitment to enhancing cloud infrastructure efficiency, Zesty manages billions in AWS contracts. Zesty’s customer-centric approach earned the company a near-perfect (4.9/5) CSAT (Customer Satisfaction Score) in 2023.
To learn more about Zesty’s Insights and Automation Platform or to book a demo, click here.
About Zesty
Zesty helps organizations accelerate innovation with its cloud infrastructure optimization platform. Powered by machine learning, Zesty provides FinOps and DevOps teams with prescriptive insights and automation to achieve the ideal utilization of cloud resources and enables CIOs to balance operational excellence and costs. Zesty’s optimization platform helps companies efficiently allocate resources for applications, with solutions for compute, storage, containers, databases, and more, saving time and money.
Founded in 2019, Zesty was built with the vision of making the cloud more affordable and accessible while reducing waste. With offices in San Mateo, Tel Aviv, Kiev, New York, and London, Zesty supports thousands of organizations, helping them get maximum value out of their cloud infrastructure. To learn more, visit https://zesty.co/.
Media Contact Kate Schoenstadt [email protected] IL: +972(0)-54-7776684
 

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Artificial Intelligence

Zenoo calls for collaboration to tackle AI fraud in banking

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CAMBRIDGE, England, July 24, 2024 /PRNewswire/ — UK technology company Zenoo warns the use of AI in banking fraud is just getting started – and collaboration with AI specialists is required to stem its flow.

Cambridge-based Zenoo – whose clients include London Stock Exchange, Experian, Transunion and NASA – supplies digital onboarding and protection from financial crime for businesses and has issued a warning to the banking community that the malevolent use of AI will only become more sophisticated and prevalent in the future.
Zenoo UK managing director George Taylor said: “It’s an enormous concern how quickly and significantly AI is being innovated to assist in banking fraud. In particular, social engineering attacks to steal personal information, enable identity theft and unauthorised access to bank accounts, is becoming remarkably advanced.”
Key areas of concern include Psychographic Profiling – where AI will analyse extensive data to create detailed psychographic profiles of individuals, tailoring social engineering attacks to exploit specific psychological traits – and Manipulative Interactions where the rising use of chatbots and virtual assistants in banking will be taken advantage of to engage in prolonged, convincing interactions with targets to extract sensitive information or induce them to perform actions that compromise their security.
Taylor is calling for banking to respond to the AI threat with AI too by collaborating with AI defence systems that can learn and adapt in real-time to detect and respond to emerging threats and machine learning models to identify and predict potential fraud based on evolving patterns and behaviours.
He adds: “The key word in combatting the AI threat is ‘collaboration’. Here at Zenoo we partner with cutting edge providers of the latest AI deepfake detection solutions which can be easily integrated into existing or new customer on boarding flows to combat fraud. We must take advantage of those specialists who are analysing and responding to the AI threat on a daily basis”.
Visit Zenoo to learn more or book a demo.
About Zenoo
Zenoo specialises in the remote onboarding of customers for international companies to help them improve their conversion rates, breaking down barriers and making it easier for their customers to open accounts online. Visit partner.zenoo.com for further information. 
Media enquiriesContact Bruce Ackland on +44 7884 076548 or email [email protected] 

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