Artificial Intelligence

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

Published

3 weeks ago

June 4, 2024

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

VeriPark and FICO Announce Strategic Partnership to Transform Financial Services

Published

21 mins ago

June 26, 2024

CISION (PR Newswire)

ISTANBUL, June 26, 2024 /PRNewswire/ — VeriPark and FICO have launched a partnership to revolutionize the financial services sector through AI-driven decision making and digital transformation.

The collaboration between VeriPark, a global provider of innovative digital solutions, and FICO, a renowned analytics software company, will enhance decision-making and promote financial inclusion across Turkey, the Middle East, Africa, Asia and CIS regions.
Combining FICO’s decision automation, optimization and omnichannel communications capabilities with VeriPark’s customer engagement, omni-channel delivery, branch automation and loan origination solutions, the partnership aims to improve customer experience and accelerate digital transformation.
“We are excited to bring FICO’s cutting-edge technology to our region. This collaboration will enhance customer experiences and operational efficiency across the financial services sector. Integrating FICO’s technology with our solutions represents a significant leap forward, ensuring we stay ahead in a rapidly changing environment. We look forward to showcasing our joint success stories soon,” said Ozkan Erener, CEO of VeriPark.
“The combination of FICO and VeriPark’s strengths brings a unique blend of innovation to the market. Our goal is to help build a better society by bringing more people into the banking system, and our partnership with VeriPark is a critical step towards achieving that. FICO has been working with AI since 1992, and we are eager to introduce this long-standing expertise to businesses in this region through our collaboration with VeriPark.” said Alexandre Graff, Vice President of Global Partners & Alliances, FICO.
About VeriPark (https://www.veripark.com)VeriPark is a global solutions provider enabling financial institutions to become digital leaders with its Intelligent Customer Experience suite. With offices located in United Kingdom, Europe, the United States & Canada, Asia, Africa and the Middle East, VeriPark is helping businesses to enhance their customer acquisition, retention and cross-sell capabilities by providing proven, secure and scalable Customer Relationship Management, Omni-Channel Delivery, Branch Automation, and Loan Origination solutions.
About FICO (https://www.fico.com/)FICO powers decisions that help people and businesses around the world prosper. Founded in 1956, the company is a pioneer in the use of predictive analytics and data science to improve operational decisions. FICO holds more than 200 US and foreign patents on technologies that increase profitability, customer satisfaction and growth for businesses in financial services, insurance, telecommunications, health care, retail and many other industries.
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Artificial Intelligence

Altair Names Devoteam Channel Partner for the EMEA Region

Published

21 mins ago

June 26, 2024

CISION (PR Newswire)

altair-names-devoteam-channel-partner-for-the-emea-region

Devoteam to offer Altair’s leading data analytics and AI solutions throughout the EMEA region
TROY, Mich., June 26, 2024 /PRNewswire/ — Altair (Nasdaq: ALTR), a global leader in computational intelligence, is thrilled to welcome Devoteam as a new channel partner for the EMEA region. Within the partnership, Devoteam will offer Altair’s leading data analytics and artificial intelligence (AI) solutions to its customers throughout the EMEA region.

“Partnering with Devoteam underscores our dedication to shaping the future of technology,” said Kimon Afsaridis, managing director of Eastern Europe and vice president of indirect EMEA sales, Altair. “This partnership marks a pivotal moment in our global expansion strategy, reinforcing our mission to lead and innovate in AI and beyond.”
“Together, Devoteam and Altair will help industrial companies harness the power of data to improve their efficiency, productivity, and competitiveness,” said Pablo Martin, industry and retail business unit director, Devoteam. “This collaboration is an important step in our commitment to help companies, particularly in the industrial sector, better their digital transformation efforts.”
Devoteam boasts more than 25 years of passion for tech and more than 11,000 tech-native specialists in offices in 25 countries. The company believes that technology combined with strong human values can drive change for the better, and specializes in managing large-scale projects while remaining agile enough to deliver customized solutions.
Altair works with a global network of channel and technology partners. To learn more or to become a partner, visit https://altair.com/altair-partners.
About Altair
Altair is a global leader in computational intelligence that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI. Altair enables organizations across all industries to compete more effectively and drive smarter decisions in an increasingly connected world – all while creating a greener, more sustainable future. To learn more, please visit https://www.altair.com.
Media contacts
Altair Corporate
Altair Investor Relations
Bridget Hagan
Stephen Palmtag
+1.216.769.2658
+1.669.328.9111
[email protected]
[email protected]
Altair Europe/The Middle East/Africa
Charlotte Hartmann
+49 7031 6208 0
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Artificial Intelligence

IBM Study: Fan Engagement and Consumption of Sports Shifting, Reveals New Opportunities for Technology Integrations including AI

Published

21 mins ago

June 26, 2024

CISION (PR Newswire)

ibm-study:-fan-engagement-and-consumption-of-sports-shifting,-reveals-new-opportunities-for-technology-integrations-including-ai

International sports fans surveyed are optimistic about the impact of technologies like AI on their digital sports experiences.Real-time updates and personalized content rank as top priorities for fans when it comes to how generative AI can enhance following and engaging with sports events.Younger sports fans overwhelmingly embrace AI-powered experiences and digital platforms for sports content consumption and engagement.ARMONK, N.Y., June 26, 2024 /PRNewswire/ — As sports fans worldwide tune in to a myriad of athletic events this summer, new research commissioned by IBM (NYSE: IBM) reveals a growing generational shift and acceptance of technology-driven experiences that will impact the future of sports consumption.

The international study*, conducted by Morning Consult, gathers insights from more than 18,000 sports fans across 10 countries to better understand both how they follow and engage with sports, including live coverage, highlights, and summaries, as well as preferences for future engagement and consumption. The findings confirm that fans are prioritizing more personalized and time-saving digital sports content, with the majority recognizing the positive impact technologies like artificial intelligence (AI) will have on these experiences.
The data also confirms that younger sports fans are more likely to favor AI-enhanced features as they increasingly turn to digital platforms for sports content. Surveyed fans aged 18-29 are using a mobile phone or tablet as their primary device to watch sporting events more often than older fans, with subscription streaming of live sporting events being most popular among the younger age group. More than half (58%) of 18-29 year old respondents also believe AI will have a positive impact on sports.
Alternatively, respondents from older age groups remain loyal to traditional methods of consumption, with linear broadcasting being most popular among fans 45+. Forty percent of surveyed fans over the age of 55 believe AI will have a positive impact on sports.
“Fans worldwide are continuing to embrace platforms and solutions that allow them to feel more connected and informed on their favorite sporting events and athletes, and IBM’s new study confirms this now includes embracing technologies like AI to deliver these experiences,” said Noah Syken, Vice President, Sports and Entertainment Partnerships. “IBM’s longstanding portfolio of Sports and Entertainment partnerships aims to deliver on these expectations from fans by putting in the hands of our partners the most advanced IBM technologies from our AI and data platform watsonx.”
Other key study findings include:
Fans are optimistic about the impact of technology on sports, paving the way for generative AI powered experiences
63% of respondents point to data analytics as having the most positive impact on sports, while 50% of respondents think AI will have a positive impact.When it comes to how generative AI can improve engagement, surveyed sports fans identify real-time updates (34%) and personalized content (29%) as the top priorities.India, UAE and Saudi Arabia rank the highest in countries where fans are prioritizing real-time updates and personalized content powered by generative AI.Fans now prioritize personalized, bite-sized content when it comes to their consumption of sport content
More than half (56%) of respondents turn to social media for additional sports content; 46% are getting additional content from broadcast/video news while 35% are turning to news articles.64% of those fans engaging in additional sports content are viewing highlight videos of best moments; 48% are consuming post-match recaps and analysis.Among those engaging in additional sports content, respondents rank summarized content (33%) as their top priority followed by personalized content (26%).Sports fans are watching event summaries more often, with 41% of respondents indicating they watch summaries or highlights weekly; 24% report daily engagement.Younger fans may be reshaping how consumers experience sports content, as they engage with content via multiple screens and are more likely to favor AI-powered enhancements
Younger fans (18-29) are most likely to view sports highlights through social media over other platforms.When it comes to consuming sports content, fans aged between 18-29 are more likely to rank personalized content as their top priority.Fans aged 18-29 are more likely to rate AI improvements as high priority, with real-time updates (40%) and personalized content (36%) topping the list of priorities.While real-time updates (26%) and personalized content (19%) also top the list of AI improvement priorities among older fans (55+), these respondents are much less likely to consider AI improvements a high priority.Younger fans are also more likely to be using multiple devices while engaging with sporting events than older fans (55+). 10% of younger fans surveyed use three or more devices while watching sports compared to only 2% of older fans.While TV is the most common method for viewing sports, fans are increasingly using multiple devices to follow sporting events
64% of surveyed fans say linear or streaming TV is their top choice for watching sports.31% of respondents say they are most likely to watch a live sporting event on linear broadcast; 28% say they use a subscription streaming service and 23% use a free streaming serviceSubscription streaming of live sporting events is most popular among younger fans aged between 18-29.Mobile devices are a noteworthy alternative for watching sports, with 20% of consumers reporting it is the top way they watch sporting events and 38% saying it is their second most likely options.28% of surveyed sports fans use at least two devices while watching sporting events; 24% report they use at least two devices while listening to sportsFans between 18-44 are more likely to be using three or more devices.Respondents rank multi-tasking as the top reason for using multiple devices when consuming sports, followed by finding more game information while watching or listening to the sport.To view the full study, visit: https://newsroom.ibm.com/image/IBM+Global+Sports+Attitudes+and+Behaviors+Report+June+2024.pdf
*Study MethodologyThis survey was conducted in May 2024 among a total sample of 18,082 sports fans 18+ in the US, Canada, the UK, France, Germany, Italy, Spain, India, the UAE, and Saudi Arabia. The interviews for each country were conducted online, and the data is unweighted, with ~2,000 responses per market in the US, Canada, the UK, France, Germany, Italy, Spain, and India and ~1,000 responses per market in the UAE and Saudi Arabia.
To qualify for this survey respondents must be at least an average sports fan and follow one or more of the following sports: Soccer, Cricket, Tennis, Basketball, Baseball, Rugby, Golf, American football, F1 racing, Track and field, Swimming, and the Olympics.
About IBMIBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.
Media Contacts:
Sarah BenchaitaIBM Corporate [email protected]
Marisa ConwayIBM Corporate [email protected]
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