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Generative AI or Gen AI caught the imagination of the web-using public at the beginning of 2023, racking up millions of users and attracting the attention of CIOs everywhere. In this paper, we describe and discuss the nature of Enterprise Information Architecture (EIA) and the data fabric requirements for Gen AI and machine learning (ML) using the Solix Common Data Platform (CDP) as a reference point.

The SOLIXCloud Solution Architecture is an Enterprise Information Architecture. Architectures of this kind can be viewed as an “Enterprise Operating System” that orchestrates a data fabric, a multi-cloud IT environment and DevOps management software, serving a diverse user population with applications and services. SOLIXCloud’s newly released AI products, Solix ML and Solix GPT, illustrate this as they are in effect applications that can be deployed within the EIA. Aside from their impressive functionality, among the benefits they bring is that they are fully integrated within the corporate computing environment.

The primary goal of this paper is to discuss the coherent adoption of both AI and Gen AI within the context of a functional Enterprise Information Architecture (EAI).

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In the race to achieve digital transformation, Enterprise AI represents an opportunity to achieve strategic advantage through the power of generative AI and machine learning. This convergence of artificial intelligence and enterprise applications offers game changing potential to revolutionize core business processes and achieve improved business results.

Why SOLIXCloud Enterprise AI?

SOLIXCloud Enterprise AI provides generative AI applications for the enterprise and manages the machine learning lifecycle for your enterprise AI applications.

A data fabric provides a unified view of data across an organisation’s disparate systems and clouds, enabling new data usage, applications, and technologies to be incrementally added. Solix’s product portfolio delivers comprehensive solutions that enable organisations to create a data fabric.

We are excited to share this latest spotlight paper by Bloor Research,” Data Fabric and the Future of Enterprise Data Management.” This paper delves into the evolving enterprise data landscape and explores how Data Fabrics are shaping the future of data management.

What is covered?

• Data Fabrics Defined: Discover what Data Fabrics are and why they are gaining popularity in the world of data management.
• The Challenges: Explore the challenges organizations face in managing the ever-growing volumes of data, and the deployment of data fabrics, from integration to governance and beyond.
• Data Fabric Use Cases: Gain insights from real-world Use Cases of Data Fabric.
• Future Proof your Data Management: Learn how Solix Data Fabric can transform your enterprise data management.

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Are you looking to enhance your SAP data management capabilities and optimize your migration to SAP S/4HANA?

If your answer is Yes, then don’t miss out on this opportunity to optimize your SAP data management capabilities.

Access the FULL SPOTLIGHT REPORT FROM BLOOR now and discover how SOLIX Cloud Data Management for SAP can help your organization reduce costs, improve performance, achieve compliance, and even optimize migration to SAP S/4HANA

The report examines in detail:

• Active SAP Archiving: Control your SAP data growth, reduce storage costs, and enhance system performance while ensuring quick access to historical information.
• Application Retirement: Streamline your landscape by retiring legacy SAP applications, securely retaining and accessing data, and eliminating maintenance costs.
• Optimization for SAP S/4HANA Migration: Prepare your data for a smooth transition, ensuring data quality and integrity while reducing migration time and effort.

IBM has announced the withdrawal of marketing, entitlements and support for certain critical programs in the IBM Infosphere Optim product line effective December 16, 2022. Of critical concern clients will no longer be able to purchase support or entitlements to certain ‘Optim Connect’ technology which provides access to archive data.

‘Optim Connect’ technology refers to:

• The Optim Open Data Manager components and offerings which support ODBC and JDBC connectivity to Optim Archive Files.
• The Optim Non Relational Connector components and offerings which support connectors to mainframes and distributed data sources.

Optim users risk the loss of access to their archive data since connectivity to Optim archive files is no longer supported and ‘NO REPLACEMENTS’ are available from IBM. Clients of Optim Open Data Manager will no longer have ODBC and JDBC access to their archive files, and since Optim files are proprietary, only Optim Open Data Manager provides in place granular access to the Optim Archive.

IBM Infosphere Optim Discontinuance Announcement: Click here to read the news

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Digital transformation is driving organizations as fast as they can to implement data-driven solutions that transform business results such as advanced analytics, artificial intelligence and machine learning. But achieving digital transformation isn’t so easy for many organizations because a new information architecture is required called the data fabric. The data fabric is a trusted, multi-cloud information architecture that automates data management functions end to end.

Cloud data management runs either as a private cloud solution managed by in-house resources or as a SaaS subscription. Once data is captured and ingested into a common data platform, cloud data management applications provide tooling to pipeline, enrich, transform and prepare the data for later use.

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Sensitive data – and, more specifically, personal data and PII – is a hot topic. In the wake of GDPR, CCPA, and other recent data privacy regulations, there is a growing need to treat the sensitive data within your organization with as much care as possible, not just to comply with the aforementioned regulations but also to satisfy an increasingly privacy-conscious public. In essence, there are both moral and practical reasons to handle your sensitive data ethically.

But what does this mean in practice? What data qualifies as sensitive and how do you protect it? Most of all, why precisely should you care, at least beyond the bare minimum required by law? It is these questions, and more, that this paper seeks to answer. The paper discusses the last of these questions before moving onwards to address the former since it will be easier to describe what you need to do if we’ve already established why you’re doing it.

The whitepaper also highlights how SOLIXCloud Consumer Data Privacy can help you automate and scale your sensitive data management and stay compliant with regulations such as GDPR, CCPA, and more.

Listed as an Innovator in the Bloor Data Governance Market Update, Solix CDP achieved high marks for the execution and capabilities of its policy management, regulatory compliance, and business orientation features.

In this InBrief, Bloor Analyst-Daniel Howard praises Solix CDP for its unified platform that provides access to everything you need for data governing, and ability to adapt to ever-changing compliance regulations across different countries and regions.

Feel free to review the full Bloor Data Governance Market Update Report.

Solix Common Data Platform (CDP), recognized as an Innovator, earned high marks for the execution and capabilities of its policy management, regulatory compliance, and business orientation features.

The ranking is based on 5 criteria:

• Metadata Management
• Policy Management & Regulatory Compliance
• Business Orientation
• Ease of Use
• Collaboration and Data Democratization

For more specifics on the Solix evaluation check out the Bloor InBrief.

According to Bloor Research- Data Management Platforms Marketing Update Report, the ideal solution is a broad, unified, automated, integrated, and interconnected platform for data management.

Bloor identified eight (8) core capabilities to evaluate Cloud Data Management Platforms to select the one best suited for your needs:

• Data Movement
• Data Quality
• Data Cataloguing
• Data Governance
• Data Privacy
• Architecture
• Automation
• Platform Integration

See how SOLIXCloud measures up in the Data Management Platforms Market Update.