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Neo4j Announces Collaboration with Snowflake for Advanced AI Insights & Predictive Analytics

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Neo4j knowledge graphs, graph algorithms, and ML tools are fully integrated within Snowflake – with zero ETL & requiring no specialist graph expertise
SAN FRANCISCO, June 4, 2024 /PRNewswire/ — Graph database and analytics leader Neo4jⓇ today announced at Snowflake’s annual user conference, Snowflake Data Cloud Summit 2024, a partnership with Snowflake to bring its fully integrated native graph data science solution within Snowflake AI Data Cloud. The integration enables users to instantly execute more than 65 graph algorithms, eliminates the need to move data out of their Snowflake environment, and empowers them to leverage advanced graph capabilities using the SQL programming languages, environment, and tooling that they already know. 

The offering removes complexity, management hurdles, and learning curves for customers seeking graph-enabled insights crucial for AI/ML, predictive analytics, and GenAI applications. The solution features the industry’s most extensive library of graph algorithms to identify anomalies and detect fraud, optimize supply chain routes, unify data records, improve customer service, power recommendation engines, and hundreds of other use cases. Anyone who uses Snowflake SQL can get more projects into production faster, accelerate time-to-value, and generate more accurate business insights for better decision-making.
Neo4j graph data science is an analytics and machine learning (ML) solution that identifies and analyzes hidden relationships across billions of data points to improve predictions and discover new insights. Neo4j’s library of graph algorithms and ML modeling enables customers to answer questions like what’s important, what’s unusual, and what’s next. Customers can also build knowledge graphs, which capture relationships between entities, ground LLMs in facts, and enable LLMs to reason, infer, and retrieve relevant information more accurately and effectively. Neo4j graph data science customers include Boston Scientific, Novo Nordisk, OrbitMI,and Zenapse, among many others.
“By 2025, graph technologies will be used in 80% of data and analytics innovations — up from 10% in 2021 — facilitating rapid decision-making across the enterprise,” predicts Gartner® in its Emerging Tech Impact Radar: Data and Analytics November 20, 2023 report. Gartner also notes, “Data and analytics leaders must leverage the power of large language models (LLMs) with the robustness of knowledge graphs for fault-tolerant AI applications,” in the November 2023 report AI Design Patterns for Knowledge Graphs and Generative AI. 
Neo4j with Snowflake: new offering capabilities and benefits
Enterprises can harness and scale their secure, governed data natively in Snowflake and augment it with Neo4j’s graph analytics and reasoning capabilities for more efficient and timely decision-making, saving customers time and resources.
Instant algorithms. Joint customers can use SQL to build knowledge graphs and run more than 65 Neo4j graph algorithms out of the box, including easy-to-use machine learning tools. Neo4j’s library is available as a native service within Snowflake. Graph algorithms are available as SQL functions, enabling users to easily enhance ML pipelines with influencer scores, community identifiers, page rank, outliers, and other graph features for greater ML accuracy.Zero ETL (Extract, Transform, Load). Customers can access and run Neo4j’s extensive library of graph algorithms entirely within their Snowflake environment without the need to go through procurement and security sign-off to move their data to another SaaS provider. The ability to use their data as-is without having to go through the painful exercise of extracting, transforming, and loading it into another database and provider. Zero ETL simplifies security and data workflows and eliminates the overhead of data preparation.Familiar languages and tooling. Customers benefit from native graph capabilities as part of a toolset and environment with which they already know. Data scientists and developers can use Snowflake SQL in their workflows to streamline development, accelerate time-to-insight, and easily derive greater value from their data. Neo4j works with the latest Snowpark Container Services (SPCS) that Snowflake announced today.GenAI enabled. Joint customers can create knowledge graphs and generate vectors that take advantage of structured, unstructured, and relationship data. These features are part of a complete GenAI stack within Snowflake that includes both vector search and Snowflake Arctic LLM models. The result organizes and represents the data in ways that make it easier to understand and retrieve insights in GenAI applications and make these insights more accurate, transparent, and explainable.Fully serverless and flexible. Customers pay only for what they need. Users create ephemeral graph data science environments seamlessly from Snowflake SQL, enabling them to pay only for Snowflake resources utilized during the algorithms’ runtime using Snowflake credits. These temporary environments are designed to match user tasks to specific needs for more efficient resource allocation and lower cost. Graph analysis results also integrate seamlessly within Snowflake, facilitating interaction with other data warehouse tables.Supporting quotes
Greg Steck, VP Consumer Analytics, Texas Capital Bank
“At Texas Capital Bank, we’re built to help businesses and their leaders succeed. We use Snowflake and Neo4j for critical customer 360 and fraud use cases where relationships matter. We are excited about the potential of this new partnership. The ability to use Neo4j graph data science capabilities within Snowflake will accelerate our data applications and further enhance our ability to bring our customers long-term success.”
Jeff Hollan, Head of Applications and Developer Platform, Snowflake
“Integrating Neo4j’s proven graph data science capabilities with the Snowflake AI Data Cloud marks a monumental opportunity for our joint customers to optimize their operations. Together, we’re equipping organizations with the tools to extract deeper insights, drive innovation at an unprecedented pace, and set a new standard for intelligent decision-making.”
Sudhir Hasbe, Chief Product Officer, Neo4j
“Neo4j’s leading graph analytics combined with Snowflake’s unmatched scalability and performance redefines how customers extract insights from connected data while meeting users in the SQL interfaces where they are today. Our native Snowflake integration empowers users to effortlessly harness the full potential of AI/ML, predictive analytics, and Generative AI for unparalleled insights and decision-making agility.”
The new capabilities are available for preview and early access, with general availability later this year on Snowflake Marketplace. For more information, read our blog post or contact us for a preview of Neo4j on Snowflake AI Data Cloud.
To learn more about how organizations are building next gen-apps on Snowflake, click here.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
About Neo4j
Neo4j, the Graph Database & Analytics leader, helps organizations find hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, from fraud detection, customer 360, knowledge graphs, supply chain, personalization, IoT, network management, and more – even as their data grows. Neo4j’s full graph stack delivers powerful native graph storage with native vector search capability, data science, advanced analytics, and visualization, with enterprise-grade security controls, scalable architecture, and ACID compliance. Neo4j’s dynamic open-source community brings together over 250,000 developers, data scientists, and architects across hundreds of Fortune 500 companies, government agencies, and NGOs. Visit neo4j.com.
Contact:[email protected] neo4j.com/pr
©2024 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.
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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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