A Framework for Enterprise Artificial Intelligence Adoption

June 25, 2019

Artificial Intelligence (AI) is no longer a technology of the future – it’s recent popularity and the prevalence of machine learning makes the adoption and implementation of AI capabilities possible. But how can your organization adopt AI in a meaningful way, at the enterprise level, to achieve measurable results? This white paper demonstrates our framework to help organizations adopt and implement AI pilots to solve complex business problems and data challenges that require sophisticated techniques.

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ZSL Inc

ZSL Inc. is an information technology enabler and solutions provider for enterprises worldwide. For 20 + years, we have been enabling businesses achieve their desired outcomes using innovative, emerging and agile software solutions and services.

OTHER WHITEPAPERS
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ETSI Activities in the field of Artificial Intelligence Preparing the implementation of the European AI Act

whitePaper | October 19, 2022

The present White Paper provides information to concerned stakeholders, including SMEs, Industry, Academia, Government Regulation Agencies and others, on the current implementation status of standards potentially suitable for ensuring compliance to the original draft of the AI Act, from an ETSI perspective. The overall set-up within ETSI is discussed and most relevant Technical Committees and Industry Specification Groups and related available deliverables and plans are identified.

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Intel® FPGAs and SoCs with Intel® FPGA AI Suite and OpenVINO Toolkit Drive Embedded/Edge AI/Machine Learning Applications

whitePaper | September 28, 2022

As the speed of enterprise operations surge and expectations for quick responses rise, decision making increasingly migrates from data centers to the network’s edge. Whether it’s on the shop floor, where busy production lines must not stand idle, a doctor in a surgical suite waiting for answers, a fire crew needing orders to fight a frantically advancing wildfire, scientists looking for insights that will help a recovering coral reef, or a retail environment where impatient customers wait for help in making a purchase, enterprises must configure their systems to collect information, to develop actionable insights, and to provide decisions or answers in real time.

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THE NEED FOR EFFECTIVE INCIDENT RESPONSE

whitePaper | June 23, 2020

Modern organizations face unprecedented threats to their critical information assets and data. In previous years, the mindset of many cybersecurity professionals and business leaders was focused on avoiding attacks and building a strong perimeter to deflect them. However, more recently this approach has shifted, and these leaders now understand that attacks are inevitable. With this fundamental shift in thinking, cybersecurity professionals must build strong incident response programs that are capable of detecting threats in a timely manner and responding effectively when they occur.

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Modern Risk Management for AI Models

whitePaper | September 15, 2022

The concept of Artificial Intelligence (AI) and Machine Learning (ML) dates back to the 1950s with researchers trying to use machines to simulate human intelligence in machines. However, their use in the financial sector has been limited. With enhanced customer service and mounting cost pressures, financial institutions (FIs) have now started to look at AI as a possible solution for improving cost and operational efficiencies.

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White Paper on the use of Artificial Intelligence in Trade Facilitation

whitePaper | February 15, 2023

Artificial intelligence (AI) is an enabling technology impacting the global economy and international trade. Combined with business-process-oriented automation and more efficient data flow exchanges, AI further promises to lift barriers to international trade, stimulate growth in global electronic commerce and allow for better predictions and associations to inform policy decisions.

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HFS Enterprise AI Services Top 10

whitePaper | January 12, 2020

“The services market for artificial intelligence technologies is rapidly maturing on the back of several years of learning and a realization—delivering AI is unlike delivering any other technology thus far. Delivering on the promise of AI calls for far more collaboration between service providers, tech vendors, and enterprise clients.” The biggest differentiator in enterprise AI services, as described by most of the customer leaders, is the quality of people—not just the quantity available for a specific skill. Domain understanding and data engineering capabilities are top priorities. A culture of innovation, experimentation, collaboration, and co creation with customers is the key winning formula here.”

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Spotlight

ZSL Inc

ZSL Inc. is an information technology enabler and solutions provider for enterprises worldwide. For 20 + years, we have been enabling businesses achieve their desired outcomes using innovative, emerging and agile software solutions and services.

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