Latest news with #dataintelligence
Forbes
8 hours ago
- Business
- Forbes
Bridging The Intelligence Gap: Why Data Alone Isn't Enough
Lalena Nau, Managing Director at Zeta Global. getty In today's marketing landscape, data is abundant—however, true intelligence is not. Despite years of investments in analytics platforms, dashboards and data storage systems, many organizations continue to encounter the same core challenge: translating vast amounts of customer data into personalized, meaningful experiences that drive growth. Deloitte's Fall 2024 CMO Survey revealed that many companies remain in the emerging stages of digital transformation, with 57% not having fully integrated new technologies into their processes, which leads to challenges around how to both analyze and leverage their customer data. This disconnect—the 'intelligence gap'—is expensive. As customers demand more relevance and immediacy across channels, the discrepancy between data collection and actionable insights has become impossible to ignore. The foundation of the intelligence gap is complexity. Most marketers are inundated with siloed systems, fragmented identity signals and platforms that were not designed to operate in real time. Without an intelligence layer that can unify identity, derive actionable insights and automate execution, marketers are left with static segmentation models, delayed campaign cycles and a limited ability to respond to customer signals as they happen. Customer data platforms (CDPs) have played a meaningful role in helping organizations centralize and structure their data. However, many CDPs are now reaching the limits of what they were originally designed to do. While they can effectively ingest and organize customer data, they often require additional layers of intelligence to unify identity across channels, generate predictive insights and enable real-time activation. Without this added capability, marketers may struggle to move beyond basic segmentation and static dashboards, which can result in static segmentation models, delayed campaign cycles and a mounting disparity between marketing potential and execution. The intelligence gap is more than a technical hurdle—it's a strategic barrier keeping CMOs from realizing AI's full value. Marketing leaders who can transform data into real-time actions will close the gap more quickly. Successfully closing the gap requires changes in mindset, skill set and tools—particularly as AI becomes central to marketing strategy. For example, AI is no longer just about content creation, and it's time for marketing leaders to embrace a broader, more transformative role. With AI, marketers can better understand their customers, deliver personalized content based on predicted behavior and preferences and automate cross-channel optimization to ensure no touchpoint has been missed—empowering next-generation marketing strategies. To begin bridging the intelligence gap, marketing leaders should prioritize a few key strategies: 1. Consolidate data around a single customer view. Centralized data is essential to make the most of AI tools. In a recent survey conducted by my organization, Zeta Global, 35% of nearly 200 chief marketing executives said they needed to improve customer insight and intelligence to drive action. AI technologies are increasingly being used to support this process. Integrate identity as well as behavioral and transactional data to create persistent customer profiles that facilitate personalization across all channels. 2. Implement predictive models. Use AI to anticipate customer needs and behaviors, then execute on those predictions in real time through automated decisioning. Personally, I appreciate when brands do this. For example, a specialty coffee establishment that I like to visit often delivers personalized recommendations based on past visits and purchases. I have tried new menu items that I would not have otherwise considered due to this AI-powered interaction. Every brand can do this, no matter the industry. 3. Move from campaigns to conversations. Transition from mass marketing campaigns to always-on, behavior-derived journeys that respond to an individual's signals and intent. Gone are the days when a brand can send a mass email and hope for a higher-than-normal open rate. Brands must connect to their customers on an individual level and look at each interaction as part of a conversation on a personal level. Leveraging AI to better understand the customer can significantly help each interaction feel personalized. 4. Align performance metrics with business impact. Evolve beyond superficial metrics and instead focus on what truly influences outcomes. A recent McKinsey & Company article, 'Unlocking the Next Frontier of Personalized Marketing,' underscored the necessity of rigorous measurement frameworks to validate the ROI of personalization efforts. By redefining benchmarks to reflect revenue contribution, customer growth and long-term value, marketers can position themselves as critical catalysts of business performance. Traditional performance indicators are no longer sufficient. AI is a driving factor behind all of the above, however, humans still play a critical role. It's the human plus AI that makes it all possible. They must work together to achieve an outcome, with marketers specifically providing input and consistent feedback to improve AI's performance. When marketers successfully bridge the intelligence gap, they activate the full power of personalization. Customers receive more relevant, timely experiences. Marketers gain efficiency and clarity. Businesses experience accelerated growth, stronger loyalty and a measurable return on marketing investment. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Zawya
13 hours ago
- Business
- Zawya
AVEVA awarded 2025 databricks manufacturing ISV partner of the year at Data + AI Summit
Dubai, United Arab Emirates – AVEVA, a global leader in industrial software driving innovation and sustainability, is honored to announce it has been named as the 2025 Databricks Manufacturing ISV Partner of the Year. Presented at the annual Data + AI Summit, the award highlights AVEVA's exceptional contributions to innovations in data-powered manufacturing. Over the past year, AVEVA, in strategic partnership with Databricks, the data and AI company, launched a ground-breaking integrative solution through its CONNECT industrial intelligence platform that redefines how industrial and enterprise data can be unified, analyzed, and operationalized. This collaboration addresses one of the most pressing challenges in modern industry: turning vast amounts of siloed operational technology (OT) and information technology (IT) data into meaningful insights, while ensuring data integrity, minimizing the development and maintenance costs, and significantly shortening time-to-value. By using the Databricks Data Intelligence Platform alongside CONNECT, customers can securely unify industrial data with enterprise business systems in an open, governed, and scalable manner via Delta Sharing, Databricks' open source approach that enables customers to share live data across platforms, clouds, and regions. This enables AI, machine learning, and real-time analytics to be applied to data sets that were historically isolated or underutilized. Manufacturers can now leverage Databricks with CONNECT for smarter decision making, predictive maintenance, demand forecasting, sustainability tracking, safety monitoring and boosted operational efficiency. 'At AVEVA, we're proud to have established Databricks and Delta Sharing as key foundation-stones of our strategy for our industrial intelligence platform, CONNECT,' said Bry Dillon, SVP of Partners and Commercial Strategy at AVEVA. 'Together, we're enabling our joint customers to access real-time insights, accelerate AI, and deliver tangible outcomes across the industrial landscape. Our partnership with Databricks marks a pivotal moment in the advancement of industrial AI. This collaboration presents a powerful opportunity to accelerate the deployment of AI-driven solutions and drive greater industry wide collaboration — capabilities that are needed for companies across the industrial sector to stay relevant, remain competitive, and build efficient, sustainable businesses of the future. "We are thrilled to name AVEVA the 2025 Databricks Manufacturing ISV Partner of the Year," said Shiv Trisal, Global Manufacturing, Transportation & Energy GTM Leader at Databricks. "As more enterprises leverage data intelligence to solve challenges across the manufacturing and energy industries, AVEVA's partnership with Databricks is essential to helping organizations everywhere harness the full potential of their data." About AVEVA AVEVA is a global leader in industrial software, sparking ingenuity to drive responsible use of the world's resources. The company's secure industrial cloud platform and applications enable businesses to harness the power of their information and improve collaboration with customers, suppliers, and partners. Over 20,000 enterprises in over 100 countries rely on AVEVA to help them deliver life's essentials: safe and reliable energy, food, medicines, infrastructure and more. By connecting people with trusted information and AI-enriched insights, AVEVA enables teams to engineer efficiently and optimise operations, driving growth and sustainability. Named as one of the world's most innovative companies, AVEVA supports customers with open solutions and the expertise of more than 6,000 employees, 5,000 partners and 5,700 certified developers. The company, which has operations around the globe, is headquartered in Cambridge, UK.
Al Bawaba
17 hours ago
- Business
- Al Bawaba
AVEVA Awarded 2025 Databricks Manufacturing ISV Partner of the Year at Data + AI Summit
AVEVA, a global leader in industrial software driving innovation and sustainability, is honored to announce it has been named as the 2025 Databricks Manufacturing ISV Partner of the Year. Presented at the annual Data + AI Summit, the award highlights AVEVA's exceptional contributions to innovations in data-powered the past year, AVEVA, in strategic partnership with Databricks, the data and AI company, launched a ground-breaking integrative solution through its CONNECT industrial intelligence platform that redefines how industrial and enterprise data can be unified, analyzed, and collaboration addresses one of the most pressing challenges in modern industry: turning vast amounts of siloed operational technology (OT) and information technology (IT) data into meaningful insights, while ensuring data integrity, minimizing the development and maintenance costs, and significantly shortening using the Databricks Data Intelligence Platform alongside CONNECT, customers can securely unify industrial data with enterprise business systems in an open, governed, and scalable manner via Delta Sharing, Databricks' open source approach that enables customers to share live data across platforms, clouds, and regions. This enables AI, machine learning, and real-time analytics to be applied to data sets that were historically isolated or underutilized. Manufacturers can now leverage Databricks with CONNECT for smarter decision making, predictive maintenance, demand forecasting, sustainability tracking, safety monitoring and boosted operational efficiency.'At AVEVA, we're proud to have established Databricks and Delta Sharing as key foundation-stones of our strategy for our industrial intelligence platform, CONNECT,' said Bry Dillon, SVP of Partners and Commercial Strategy at AVEVA. 'Together, we're enabling our joint customers to access real-time insights, accelerate AI, and deliver tangible outcomes across the industrial landscape. Our partnership with Databricks marks a pivotal moment in the advancement of industrial AI. This collaboration presents a powerful opportunity to accelerate the deployment of AI-driven solutions and drive greater industry wide collaboration — capabilities that are needed for companies across the industrial sector to stay relevant, remain competitive, and build efficient, sustainable businesses of the future. "We are thrilled to name AVEVA the 2025 Databricks Manufacturing ISV Partner of the Year," said Shiv Trisal, Global Manufacturing, Transportation & Energy GTM Leader at Databricks. "As more enterprises leverage data intelligence to solve challenges across the manufacturing and energy industries, AVEVA's partnership with Databricks is essential to helping organizations everywhere harness the full potential of their data."
Entrepreneur
4 days ago
- Business
- Entrepreneur
Entrepreneur UK's London 100: Daintta
Daintta provides deep expertise, insight, and capability in data intelligence, AI, cybersecurity, systems, software, and network engineering Opinions expressed by Entrepreneur contributors are their own. You're reading Entrepreneur United Kingdom, an international franchise of Entrepreneur Media. Industry: IT Services Daintta provides deep expertise, insight, and capability in data intelligence, AI, cybersecurity, systems, software, and network engineering. In the first 5 years Daintta has grown their team to 70+ highly skilled experts and delivered 60+ critical innovative projects to 35+ clients in the most complex environments. Examples of how they have driven innovation: Established the UK's first healthcare-focused cybersecurity innovation factory, driving advancements in cyber resilience within the healthcare sector. Designed and built a state-of-the-art 5G lab, supporting security and interoperability testing across advanced technologies—raising national telecoms security standards. Delivered AI capabilities into highly regulated sectors, including Defence and National Security, enhancing automation and threat detection. Co-created a cybersecurity strategy for a major UK government department and its public sector affiliates, introducing an innovative, future-facing approach to cyber services. Developed CyINTer, a novel AI-powered cyber risk intelligence platform aimed at democratising cyber resilience for small and medium-sized organisations. Justin Teutsch, co-founder and CEO of Daintta tells Entrepreneur UK: "Daintta has been on an incredible growth journey, guided by our values, and driven by our mission to deliver cutting-edge solutions in cybersecurity, data, engineering, and artificial intelligence. Our success is a result of the dedication, innovation, and hard work put in by our talented team of experts."
Yahoo
12-05-2025
- Business
- Yahoo
Alation Launches Data Products Builder Agent to Power AI-Ready Data
New agent automates creation of trusted, reusable data products to fuel AI, compliance, and decision-making at enterprise scale LONDON, May 12, 2025 (GLOBE NEWSWIRE) -- Alation Inc., the data intelligence company, today announced the launch of its Data Products Builder Agent, an AI-powered tool that helps data teams turn messy, raw data into trusted, reusable data products. It removes the busywork of data teams, enabling them to deliver the data products that business users and AI need. Today's business users demand faster access to trusted data. Yet, enterprise data teams struggle with a deluge of under-documented data and backlogs of duplicate requests from analyst teams. These organizations are overwhelmed, making it difficult to identify what data is valuable and ready for use. Now, with the rise of AI initiatives, data teams are also under increasing pressure to deliver data fit for not only human, but machine consumption as well. The Data Products Builder Agent addresses these challenges by transforming raw data into productized, AI-ready assets that are easy to find and use in the Alation Data Products Marketplace. By automating the data product lifecycle, the Data Products Agent streamlines curation, packaging, and publishing processes. Based on user prompting, the agent identifies the right data to answer the user's business question. It then auto-generates and documents the data product design specification and ensures data products meet marketplace and governance standards, all while keeping a human in the loop. This enables data teams to focus on strategic work while empowering the business with trusted, ready-to-use data products. Alation is the most open and extensible agentic data intelligence platform and is committed to providing customers with continued independence and interoperability of metadata. Alation-built data products are governed and machine-readable across any platform. The Alation Data Product definitions build on the Open Data Products Specification (ODPS), a YAML-based standard that enables open, portable, and extensible metadata for data products. Alation has also joined the Open Data Product Technical Steering Committee (TSC), furthering its support and commitment to help partners unlock the full potential of their data in an open and interoperable manner. 'Alation's decision to join ODPS is a significant milestone in advancing the standardization of data products. As the leader in data intelligence, Alation brings deep expertise and practical insight that will further strengthen our mission to build open, interoperable, business-ready data ecosystems,' said Jarkko Moilanen, Founder of ODPS. 'We are excited to partner with Alation and welcome them to the ODPS Technical Steering Committee, where together we can help drive the development, direction, and innovation of ODPS.' 'AI will soon be the primary consumer of data. Organizations that invest in building AI-ready reusable data products will get massive leverage as AI tooling takes off,' said Jake Magner, Sr. Director, Product Management, Alation. 'The biggest challenge with building data products is the time and cost of ownership, and even knowing how to make them AI-ready. The Data Products Builder agent helps solve this problem.' Unlike legacy catalogs or manual workflows, Alation offers co-pilot editing, intelligent recommendations, and a governed data marketplace, all powered by real usage signals. These capabilities help data teams deliver trusted, reusable data products faster and at scale. Key capabilities of the Alation Data Products Builder Agent include: Effortless data product creation: Automate and accelerate the creation of trusted, high-value data products with AI-powered intelligent recommendations for data products based on user-defined use cases and popular data assets, leveraging active metadata. Built-in trust: Scale data product management with built-in governance, data contracts, defined owners, certification, and reusability, while ensuring open interoperability. Business-aligned relevance: Drive adoption and value by aligning data products with business and AI-demand based on data asset usage, dependencies, and value attribution. Products are published to the Alation Data Products Marketplace, enabling discoverability by data product consumers: humans and AI agents. Dashboards for data product managers and stewards track usage and feedback, helping teams iterate and continuously improve data offerings. The release of the Data Products Builder Agent, which will be generally available in Q3 2025, follows the company's recent announcement of its Agentic Data Intelligence Platform and agents that automate and guide data discovery, governance, and compliance, including the Documentation Agent, Data Quality (DQ) Agent, and AI Agent SDK. Learn More: Today, the BBC, an Alation customer, will take the stage at the Gartner Data & Analytics Summit 2025 in a session titled, 'Building the Digital First BBC by Transforming into a Data Product Organization.' The BBC is on a Digital First mission and transforming into a data product organization. The session, which features the BBC's Head of Data & AI Governance, Nathalie Berdat, will explore how the company's data strategy is driving a cultural and organizational shift that is evolving its data architecture and embedding data capabilities company-wide. Click here to learn more about the session and visit Alation at booth #319. Register for the webinar, 'What is a Data Product—and How Do You Build One?' on May 22, 2025. The webinar will discuss how to build data products that deliver business value and feature insights from Dr. Jarkko Moilanen, Founder, ODPS, Jake Magner, Product Leader at Alation, and David Chao, Chief Strategy and Marketing Officer at Alation. Read the blog, 'Build Better Data Products—Faster: Meet Alation's New Data Products Builder Agent.' About AlationAlation is the data intelligence company. More than 600 global enterprises — including 40% of the Fortune 100 — rely on Alation to realize value from their data and AI initiatives. Customers such as Cisco, DocuSign, Nasdaq, Pfizer, and Samsung trust Alation's platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering data-driven innovation at scale. Headquartered in Redwood City, California, Alation has been recognized five times by Inc. Magazine as one of the Best Workplaces. To learn more, visit CONTACT: Media Contact Ashley Womack Sr. Director, Corporate Marketing 650-504-2647 in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
