AI Tech, General AI, AI Applications

Artificial Intelligence at the Heart of Business 4.0

February 16, 2023

Artificial Intelligence at the Heart of Business 4.0
Artificial Intelligence (AI) is answer to challenges that telecoms must face in a time of rapidly changing market requirements, but it is not easy to adapt immediately. Many requirements can be solved by experienced experts. Unfortunately, access to their knowledge is increasingly limited, their education is usually expensive, there are not enough of them, and they are not always able to respond with sufficient speed.

Spotlight

Saama

Headquartered in the heart of Silicon Valley, Saama is the leading data science consulting and solutions company delivering Analytics Advantage to Global 2000 clients. Our Fluid Analytics Engine™ maximizes existing customer infrastructure, allowing us to focus the white space between existing capabilities and the critical business questions that need to be answered. We are unique in our ability to combine our Fluid Analytics Engine with our vertical expertise to drive the rapid adoption of advanced analytics into company-specific business processes in a matter of weeks.

OTHER WHITEPAPERS
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AI Test Drive clears the way for business case validation

whitePaper | August 26, 2022

Evolving data centers into intelligent hubs for digitized business processes poses numerous challenges for IT managers. Many organizations are already adopting hybrid IT concepts to make their data center operations more flexible. However, they also have to keep an eye on new requirements such as IoT, AI, blockchain, container technology as well as data security, legal regulations and climate change. How can all this be seamlessly integrated and managed? And, what will matter next for the data center of the future?

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An Overview of AI Music Generation and its Potential

whitePaper | July 15, 2022

Today, the use cases for AI (artificial intelligence) and machine learning are developing at a remarkable pace. We are beginning to see cases where AI is contributing to society through its implementation in systems and services that are in production and consumer-facing. These include the automation of nuanced decisions that until now could only be made by humans, thereby increasing the profitability of corporations, and increasing customer satisfaction through the personalization of services making them tailored for each user. In addition, important discussions have begun on the adverse effects such AI systems have on humans and the resulting ethical issues they can create.

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Best Practices for Secure Access of Third Party APIs from Mobile Apps

whitePaper | September 28, 2022

Mobile apps typically communicate with several backend services over the Internet. In some cases those services may have been developed specifically for that mobile app, but in most cases the app will be dependent on services developed by a 3rd party. This whitepaper discusses how communication with those services can be properly secured, and how Approov’s new runtime secrets protection feature enables significantly enhanced security to be added with a minimum of development effort.

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Successfully implement and operationalize machine learning models to optimize and accelerate credit decisions

whitePaper | May 4, 2022

The pandemic has brought about significant economic disruption, thereby increasing the need for banks and financial institutions to be more agile. However, Covid-19 is not the only factor that drives automation and digitalization in the credit and lending process in credit institutions. Incumbent banks are increasingly facing pressure from neobanks, these having the strategic advantage of being “born digital”. In addition, customers demand fully digitalized processes with regard to the ease of use and fast turnaround times.

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The future of AI is hybrid

whitePaper | May 15, 2023

The future of AI is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute,2 AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential – just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices. A hybrid AI architecture distributes and coordinates AI workloads among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized AI.

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Optimize Microsoft SQL Server Workloads with NetApp Solutions

whitePaper | July 31, 2020

IT organizations face constant change. There’s the overarching transition to cloud, which raises questions about what workloads to move when. And there are application-level transitions imposed by vendors when they end support for older versions of software, forcing companies to upgrade. Microsoft SQL Server is swept up in both of these transitions. Organizations rely on SQL Server for everything from ERP to analytics, and thousands of them are running the 2008 or older versions that are now end of support.

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Spotlight

Saama

Headquartered in the heart of Silicon Valley, Saama is the leading data science consulting and solutions company delivering Analytics Advantage to Global 2000 clients. Our Fluid Analytics Engine™ maximizes existing customer infrastructure, allowing us to focus the white space between existing capabilities and the critical business questions that need to be answered. We are unique in our ability to combine our Fluid Analytics Engine with our vertical expertise to drive the rapid adoption of advanced analytics into company-specific business processes in a matter of weeks.

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