Practice Director, Information & Analytics
There seems to be an undertone across organizations to find the “silver bullet” for information insights; a quest for a technological solution that will bring meaningful and timely insights to consumers or thru applications with little to no effort. Artificial Intelligence (AI) alludes to this vision and we have seen significant evolution in the last few years toward simplification of training, running, infusing, and monitoring AI models. Often while doing so, organizations uncovered new challenges such as trusted data, quality of source objects, and reuse of past algorithms and insights.
Although we have not achieved the simplicity / democratization of artificial intelligence to the degree we have seen with business intelligence and dashboarding tools, the evolution of the AI ecosystem is at a precipice, empowering more business users than ever before. One example is where IBM is embedding AI processes within the information ecosystem, enabling auto-discovery of assets and increasing reuse of both data and complex analytics assets. Data virtualization technology allows speed of analysis without replicating data, creating a single pane of glass and abstracting complex relationships between data objects. Data management tools identify, classify, mask, and cleanse aberrations, creating documented and trusted sources from basic reporting to AI application integration. In addition, IBM Cloud Pak for Data integrates a broad spectrum of open source technologies, allowing organizations to leverage and harden concepts and designs that otherwise would not meet security, lineage, and other enterprise production requirements.
The notion of a silver bullet may be more of a dream than reality but the new, end-to-end information ecosystem solutions within the IBM Cloud Pak for Data allow organizations to simplify complex business insights like never before. IBM Cloud Pak for Data offers organizations flexibility of deployment, even delivered in a fit-for-purpose AI in a box form factor called the IBM Cloud Pak for Data System. So, yes, IBM has put AI in a box, but for all the right reasons.
Background: IBM Cloud Pak for Data – Ecosystem Enabling Artificial Intelligence
In October 2018, IBM made a significant acquisition, Red Hat. One of the key motivating factors behind the purchase was Red Hat OpenShift, an application modernization and orchestration solution that allows organizations to build on a unified architecture whether the solution needs to run on premise, in the cloud, or a mix thereof. By leveraging containers and microservices, the architecture allows for much more efficient use of infrastructure and optimization of processing across the ecosystem. Common logging, administration, and other services can be abstracted and shared across containers, giving more ease of interoperability than with monolithic solutions. The IBM Cloud Pak for Data builds upon this revolutionary foundation and brings a broad universe of functional components to an organization. The beauty of the design is that organizations only need to spin up and leverage the functional components that are relevant to the use case, project, or program needs.
Business Success – AI in a Box Use Cases
Mainline has been on the forefront of the Cloud Pak for Data evolution, working with IBM and our customers to implement successful solutions across industries. The Cloud Pak for Data breadth of functionality allows for a diverse set of use cases and challenges to be addressed within one platform. Mainline and the IBM Cloud Pak for Data system have quickly enabled organizations in the industrial, retail, banking, financial services, healthcare, and research verticals to meet their specific data and AI needs.
Insurance – Loss Mitigation
The IBM Cloud Pak for Data System allowed this organization to quickly ingest, organize, qualify, model, and infuse insights into forms in which their members saw immediate value. Satisfaction from members who were not only able to save damage to equipment, but also significant time and effort dealing with the damage, allowed the program to return 2x the investment after the first year.
Healthcare – Genomics Research and COVID-19 Research
Banking / Financial Services – Regulatory Compliance and Customer Satisfaction
Apparel / Manufacturing – Customer 360 / Product Targeting
For more information on artificial intelligence and machine learning solutions, contact your Mainline Account Executive directly or click here to contact us with any questions.
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