Shift to enterprisegrade AI

July 19, 2019

Chemicals and petroleum companies have a sharper focus on artificial intelligence (AI). More companies are considering the adoption of AI and are prioritizing business functions where it can add value. Our research indicates companies will continue to invest in AI, but with more realistic expectations for ROI. Topline and customer satisfaction value drivers are the primary objectives of implementing AI.

Spotlight

Adistec

ADI simplifies and strengthens business intelligence architectures. We integrate both applications and data in order to illuminate the possibilities. We pull data from ERPs, data warehouses, data marts, chain management solutions and any number of legacy systems. Perhaps most importantly, we understand the business needs that drive the design, utilization and value of information systems.

OTHER WHITEPAPERS
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How Data Can Help Us Get Back to School Safely

whitePaper | August 18, 2020

This year, back to school for college students means more than just buying supplies, finding the right dorm and making sure to get into the proper classes. The COVID-19 pandemic has changed the annual fall ritual into one where campuses need to make sure they are safe from infection while providing a healthy environment for learning, growth and community.

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Evolution of IT Research Report

whitePaper | July 23, 2020

LogicMonitor asked 500 global IT leaders from across the globe how their departments are evolving to maintain SLAs and business continuity amidst the 2020 global pandemic.

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The Expanding Universe of Low Code / No Code Platforms

whitePaper | June 30, 2022

Low code and no code (LCNC) development platforms expedite the creation of new applications with minimal or no coding requirements, as well as offer tools for non-programmers to create applications of their own. Low code development was introduced in the early 2000s to increase developer productivity. It uses a variety of approaches that automate and abstract application development activities, such as drag and drop editors, code generation, component assembly and model-driven development.

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Democratizing AI: Transforming Your Operating Model to Support AI Adoption

whitePaper | May 20, 2021

AI has become a strategic imperative. Early adopters are achieving massive returns, while others risk falling behind. Yet, with AI knowledge and resources scarce, most companies cannot copy the FAANG approach. Even if their vast resources were more readily available, it’s hard to reboot an organization without disrupting the bottom line. Most executives need to work with the resources available — their existing people, processes, and technology.

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Artificial Intelligence at the Heart of Business 4.0

whitePaper | February 16, 2023

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.

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Artificial Intelligence Policy and the European Union

whitePaper | August 30, 2022

In late 2019, then newly elected European Commission President Ursula von der Leyen announced her intent to make regulating the use of artificial intelligence (AI) a top priority for Europe. She promised to “put forward legislation for a coordinated European approach on the human and ethical implications of Artificial Intelligence” within her first 100 days in office.

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Spotlight

Adistec

ADI simplifies and strengthens business intelligence architectures. We integrate both applications and data in order to illuminate the possibilities. We pull data from ERPs, data warehouses, data marts, chain management solutions and any number of legacy systems. Perhaps most importantly, we understand the business needs that drive the design, utilization and value of information systems.

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