Infor recently formed a partnership with ETQ, part of Hexagon, to strengthen the solution ecosystem for food and beverage, life sciences, chemicals, fashion, and distribution enterprises requiring best-in-class quality management and environmental, health and safety solutions. Per the press release, the ETQ Reliance quality management system (QMS) provides capabilities for document control. Corrective and preventative actions (CAPA), nonconformance management, employee training management, enterprise risk management, supplier quality management, audits, and quality analytics. In addition, ETQ Reliance offers a portfolio of environmental health and safety (EHS) applications and is a modern cloud-native solution that fits well with Infor’s industry cloud platform. Infor CloudSuite is considered a complementary software solution to ETQ Reliance. ETQ Reliance is an agile, comprehensive SaaS platform comprised of more than 40 QMS and EHS applications that adapts and scales as customer needs evolve. And Infor CloudSuite is managing the product and quality specifications, and executes quality inspections at goods receipt, in manufacturing, in the laboratory, in the warehouse and at distribution. It provides powerful functions to manage the quality, variable characteristics and shelf life of the materials and products. Moreover, it has second-to-none track & trace and recall capabilities supported by a graphical visualization of the goods flow.

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In 2023, data technology focused on adopting generative artificial intelligence (AI) and foundation models. Companies soon realized that in order to leverage this tech, they needed to get their data affairs in order. While we know what role high-quality and valuable data can bring to a business’ success, we need to understand how technological advancements such as AI can help leverage your data. VentureBeat shares an insightful article of 11 data predictions for AI-centric enterprise growth in the new year with supporting evidence from tech experts in their fields.

1. Relational will break free of SQL. “Many organizations continue to rely on outdated operational databases that were built to handle the demands of decades-old technology. SQL is a database language that lacks a standardized approach to procedural logic which, for most applications, is embedded within an application server connected to a SQL database using a stateful, persistent session. Looking ahead, we’ll see businesses adopt more agile database infrastructure that supports the distribution, consistency, scalability and flexibility of modern applications across IoT, edge, and AI. The challenges with legacy databases will only become more costly as their limitations become more burdensome to enterprise developers, and a larger bottleneck for the pace of business innovation.” – Bob Muglia, executive chairman of Fauna and former CEO of Snowflake
2. Vector databases will become the most sought-after technology. “In an era where data-driven insights fuel innovation, vector databases have swiftly gained prominence due to their prowess in handling high-dimensional data and facilitating complex similarity searches. Whether for recommendation systems, image recognition, natural language processing, financial forecasting, or other AI-driven ventures, understanding the top vector databases will be critical for software development across industries.” – Ratnesh Singh Parihar, principal architect at Talentica Software, and Avthar Sewrathan, GM for AI and vector at Timescale
3. Fishing for LLM gold in enterprise data lakes. “In 2024, businesses will begin using generative AI to make use of that untamed data by putting it to work building and customizing LLMs. With AI-powered supercomputing, businesses will begin mining their unstructured data — including chats, videos and code — to expand their generative AI development into training multimodal models.” – Charlie Boyle, vice president of DGX Systems, Nvidia
4. Companies without sophisticated enough automation to power AI will feel the burn. “As businesses implement AI to maintain their competitive edge, many will feel the effects of their disorganized data infrastructure more acutely. The effects of bad data (or not enough data) will be compounded when the stakes are raised from simply serving up bad information on a dashboard to potentially automating the wrong decisions and behaviors based on that data.” – Sean Knapp, CEO of Ascend.io
5. Cloud FinOps teams will optimize their data pipelines. “In Ascend’s annual research, 48% of respondents cited plans to optimize their data pipelines to reduce cloud computing costs, with 89% of those respondents expecting the number of pipelines to grow in the next 12 months. It will be imperative next year to leverage platforms that pinpoint where extra spending is occurring in data pipelines and push back with rapid demonstrations of cost optimizations to avoid misguided mandates from above.” – Sean Knapp, CEO of Ascend.io
6. Intent data will become a must-have for go-to-market teams. “With AI becoming more sophisticated every year, we anticipate seeing a continued shift from reactive to proactive customer engagement, boosting conversions and fostering long-term customer loyalty.” –  Henry Schuck, CEO of ZoomInfo
7. Data and business teams will lock horns over onboarding AI products. “While business users’ demand for AI products like ChatGPT has already taken off, data teams will still impose a huge checklist before allowing access to corporate data. This tail-wagging-the-dog scenario may be a forcing function to strike a balance, and adoption could come sooner rather than later as AI proves itself as reliable and secure.” –  Arina Curtis, CEO and co-founder of DataGPT
8. Enterprises will get a double whammy from real-time and AI. “AI-powered real-time data analytics will give enterprises far greater cost savings and competitive intelligence than before by way of automation, and enable software engineers to move faster within the organization. With AI, in 2024, we will be able to process these documents in real-time and also get good intelligence from this dataset without having to code custom models.” – Dhruba Borthakur, CTO and co-founder of Rockset
9. Knowledge graphs will help users eliminate data silos. “As enterprises continue to move more data into a data cloud, they are collecting hundreds, thousands, and sometimes even tens of thousands, of data silos in their clouds. With this, in the new year, we will see a variety of established and novel knowledge graph-based AI techniques that support the development of intelligent applications emerge.” – Molham Aref, CEO and founder of RelationalAI
10. AI will change the current approach to data management. “Companies will find they need to strike a balance to protect data that is being used by AI models, while still using that data to support valuable decision-making. These innovative data management solutions will continue to evolve alongside regulatory compliance and emerging legislation.” — Osmar Olivo, VP of product management, Inrupt
11. The role of Chief Data Officer will become a prerequisite for CIO hopefuls. “Organizations looking for great CIOs will choose the ones who truly understand how data moves, flows through and influences organizations, meaning that CDOs will have a natural advantage in pursuing that career path and continue to exert tremendous influence in the enterprise.” – Heath Thompson, president & GM, Quest Software

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Infor announced that Waikato Regional Council has completed its implementation of Infor CloudSuite Public Sector, which delivers on its vision for a single, integrated smart platform that will have positive outcomes for all stakeholders and, in the long term, the community. Per the press release, the New Zealand local government entity selected Infor for “Project Reboot” to replace 28 disparate on-premises software systems with a cloud-based software-as-a-service (SaaS) solution — Infor CloudSuite Public Sector. The multi-year, multi-phase transformation program included new modules for financial management and budgeting, planning, human resources, property and rates, among others. Janine Becker, director of finance and business services at Waikato Regional Council, says of the success of the project, “Project Reboot was launched in May 2019 to replace 28 different software systems that didn’t speak to each other, were aging and costly to maintain, and required more than a Band-Aid fix. While a change of the scale delivered will take some time to bed into the organization, it has allowed us to address some key business risks and will provide a technology platform and business processes that our council will continue to use and optimize over time. We are seeing some early wins from the project phases that have been progressively implemented since September 2020. Infor has also brought us ‘into the tent’ where we’ve been involved in their product development cycle. The ability and opportunity to influence future solutions is a big bonus for our innovation program now and in the years to come.” With a solid track record as the cloud provider of choice for utilities and government agencies around the world, it was easy for Waikato Regional Council to choose Infor. Apart from Waikato Regional Council, Infor is the “system of record” for the nation’s water reform program and a close partner to its largest water authority, Watercare. In Australia, six water corporations are customers while leading U.S. water authority Elsinore Valley Municipal Water District is also a client.

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