Big Data Management
Business Wire | October 04, 2023
Teradata (NYSE: TDC) and ActionIQ announced today a new joint-offering for marketing and customer experience (CX) activations for Teradata VantageCloud customers. This new offering, which includes integration with VantageCloud and ActionIQ, is now complete and ready for customers. The collaboration highlights Teradata’s open and connected ecosystem, which includes a strong partnership with ActionIQ to leverage the companies’ collective expertise in advertising and marketing technology for CX.
Together, the two companies aim to democratize access to customer data across the enterprise while providing technical teams with enhanced control. By combining the harmonized data approach and advanced analytics of Teradata VantageCloud with the full capability of ActionIQ’s modern customer experience apps, businesses can gain a comprehensive 360-degree view of customers, foster more meaningful engagements, and deliver superior experiences.
The partnership between Teradata and ActionIQ is a win for customers interested in enhancing their customer experience and driving profitable growth, said Lisa Stewart, Senior Vice President, Worldwide Partners and Alliances at Teradata. With ActionIQ's expertise in advertising and marketing technology for CX, combined with Teradata's complete cloud analytics and data platform, businesses can unlock the full potential of their customer data, enhance agility, accelerate time-to-value, and deliver exceptional customer experiences.
“Teradata's unmatched legacy in data analytics and ActionIQ's marketer-friendly CDP (customer data platform) position us to redefine customer experiences," said Tasso Argyros, ActionIQ CEO and Founder. "Our shared vision is to empower businesses, enabling faster innovation, better decisions, and genuine customer connections.”
With Teradata VantageCloud, the complete cloud analytics and data platform, and ActionIQ, businesses can unlock faster innovation, better decision-making, and enhanced customer experiences, particularly for AI and ML. ActionIQ’s unique composable architecture offers easy-to-use, self-service data access to marketers while pushing queries into VantageCloud for the best of both worlds in terms of performance, enterprise scale and security. This allows business teams to gain direct, but controlled, access to data, enabling self-serve use cases through seamless and scalable integrations with owned and paid channels. IT and data teams will benefit from zero data latency, scalable governance, and worry-free integrations, freeing up resources previously spent on managing ever-changing requirements. This partnership is designed to future-proof acquisition marketing strategies, increases loyalty, and improves retention for business teams.
ActionIQ will offer a range of solutions to Teradata VantageCloud customers:
ActionIQ Audience Center is an audience segmentation tool enabling effective management of audience data for targeted marketing campaigns and personalized customer interactions.
Real-Time CX allows for real-time access to customer profiles and behavior for personalized customer experiences.
IdentityPlus provides comprehensive identity resolution capabilities that deliver deeper insights into customer identities and behaviors, resulting in personalized experiences and improved targeting.
Journey Orchestration offers a drag-and-drop canvas for building multi-step, multi-channel customer journeys. As a result of this new partnership, all of these applications can now map directly to Teradata VantageCloud.
ActionIQ will join Teradata at the Teradata Possible event in Orlando on October 2-4 to share more details with customers.
ActionIQ is a new kind of composable customer data platform for enterprise brands who want to grow faster and deliver meaningful experiences for their customers. Built for data in constant motion, ActionIQ’s unique composable architecture gives marketers easy and secure ways to activate data anywhere in the customer experience while keeping data securely where it lives. Unify data from any source, build smart audiences, resolve customer identities, and design personalized interactions that unlock revenue across the entire customer lifecycle – all while helping technical teams extend existing technology investments to manage data governance, costs, and performance. Enterprise brands such as Albertsons, Atlassian, Bloomberg, DoorDash, HP, and many more use ActionIQ to drive growth through extraordinary customer experiences. Learn more at actioniq.com.
At Teradata, we believe that people thrive when empowered with better information. Our best-in-class cloud analytics and data platform delivers the harmonized data and trusted AI/ML organizations need for confident decision-making, faster innovation, and impactful business results. See how at Teradata.com.
iTWire | September 27, 2023
Teradata today announced new enhancements to its leading AI/ML (artificial intelligence/machine learning) model management software in ClearScape Analytics (e.g., ModelOps) to meet the growing demand from organisations across the globe for advanced analytics and AI.
These new features – including “no code” capabilities, as well as robust new governance and AI “explainability” controls – enable businesses to accelerate, scale, and optimise AI/ML deployments to quickly generate business value from their AI investments.
Deploying AI models into production is notoriously challenging. A recent O'Reilly's survey on AI adoption in the enterprise found that only 26% of respondents currently have models deployed in production, with many companies stating they have yet to see a return on their AI investments.
This is compounded by the recent excitement around generative AI and the pressure many executives are under to implement it within their organisation, according to a recent survey by IDC, sponsored by Teradata.
ModelOps in ClearScape Analytics makes it easier than ever to operationalise AI investments by addressing many of the key challenges that arise when moving from model development to deployment in production: end-to-end model lifecycle management, automated deployment, governance for trusted AI, and model monitoring.
The governed ModelOps capability is designed to supply the framework to manage, deploy, monitor, and maintain analytic outcomes. It includes capabilities like auditing datasets, code tracking, model approval workflows, monitoring model performance, and alerting when models are not performing well.
We stand on the precipice of a new AI-driven era, which promises to usher in frontiers of creativity, productivity, and innovation. Teradata is uniquely positioned to help businesses take advantage of advanced analytics, AI, and especially generative AI, to solve the most complex challenges and create massive enterprise business value.
Teradata chief product officer Hillary Ashton
“We offer the most complete cloud analytics and data platform for AI. And with our enhanced ModelOps capabilities, we are enabling organisations to cost effectively operationalise and scale trusted AI through robust governance and automated lifecycle management, while encouraging rapid AI innovation via our open and connected ecosystem. Teradata is also the most cost-effective, with proven performance and flexibility to innovate faster, enrich customer experiences, and deliver value.”
New capabilities and enhancements to ModelOps include:
- Bring Your Own Model (BYOM), now with no code capabilities, allows users to deploy their own machine learning models without writing any code, simplifying the deployment journey with automated validation, deployment and monitoring
- Mitigation of regulatory risks with advanced model governance capabilities and robust explainability controls to ensure trusted AI
- Automatic monitoring of model performance and data drift with zero configuration alerts
Teradata customers are already using ModelOps to accelerate time-to-value for their AI investments
A major US healthcare institution uses ModelOps to speed up the deployment process and scale its AI/ML personalisation journey. The institution accelerated its deployment with a 3x increase in productivity to successfully deploy thirty AI/ML models that predict which of its patients are most likely to need an office visit to implement “Personalisation at Scale.”
A major European financial institution leveraged ModelOps to reduce AI model deployment time from five months to one week. The models are deployed at scale and integrated with operational data to deliver business value.
Big Data Management
Kinetica | September 22, 2023
Kinetica, a renowned speed layer for generative AI and real-time analytics, has recently unveiled a native Large Language Model (LLM) integrated with Kinetica's innovative architecture. This empowers users to perform ad-hoc data analysis on real-time, structured data with the ease of natural language, all without the need for external API calls and without data ever leaving the secure confines of the customer's environment. This significant milestone follows Kinetica's prior innovation as the first analytic database to integrate with OpenAI.
Amid the LLM fervor, enterprises and government agencies are actively seeking inventive ways to automate various business functions while safeguarding sensitive information that could be exposed through fine-tuning or prompt augmentation. Public LLMs, exemplified by OpenAI's GPT 3.5, raise valid concerns regarding privacy and security. These concerns are effectively mitigated through native offerings, seamlessly integrated into the Kinetica deployment, and securely nestled within the customer's network perimeter.
Beyond its superior security features, Kinetica's native LLM is finely tuned to the syntax and industry-specific data definitions, spanning domains such as telecommunications, automotive, financial services, logistics, and more. This tailored approach ensures the generation of more reliable and precise SQL queries. Notably, this capability extends beyond conventional SQL, enabling efficient handling of intricate tasks essential for enhanced decision-making capabilities, particularly for time-series, graph, and spatial inquiries. Kinetica's approach to fine-tuning places emphasis on optimizing SQL generation to deliver consistent and accurate results, in stark contrast to more conventional methods that prioritize creativity but yield diverse and unpredictable responses. This steadfast commitment to reliable SQL query outcomes offers businesses and users the peace of mind they deserve.
Illustrating the practical impact of this innovation, the US Air Force has been collaborating closely with Kinetica to leverage advanced analytics on sensor data, enabling swift identification and response to potential threats. This partnership contributes significantly to the safety and security of the national airspace system. The US Air Force now employs Kinetica's embedded LLM to detect airspace threats and anomalies using natural language.
Kinetica's database excels in converting natural language queries into SQL, delivering responses in mere seconds, even when faced with complex or unfamiliar questions. Furthermore, Kinetica seamlessly combines various analytics modes, including time series, spatial, graph, and machine learning, thereby expanding the range of queries it can effectively address. What truly enables Kinetica to excel in conversational query processing is its ingenious use of native vectorization. In a vectorized query engine, data is organized into fixed-size blocks called vectors, enabling parallel query operations on these vectors. This stands in contrast to traditional approaches that process individual data elements sequentially. The result is significantly accelerated query execution, all within a smaller compute footprint. This remarkable speed is made possible by the utilization of GPUs and the latest CPU advancements, which enable simultaneous calculations on multiple data elements, thereby greatly enhancing the processing speed of computation-intensive tasks across multiple cores or threads.
Kinetica is a pioneering company at the forefront of real-time analytics and is the creator of the groundbreaking real-time analytical database specially designed for sensor and machine data. The company offers native vectorized analytics capabilities in the fields of generative AI, spatial analysis, time-series modeling, and graph processing. A distinguished array of the world's largest enterprises spanning diverse sectors, including the public sector, financial services, telecommunications, energy, healthcare, retail, and automotive industries, entrusts Kinetica to forge novel solutions in the realms of time-series data and spatial analysis. The company's clientele includes various illustrious organizations such as the US Air Force, Citibank, Ford, T-Mobile, and numerous others.