Our Brain Trust is a circle of evangelists, big thinkers and passionate thought leaders we bring together to help shape the world of real-time, data-driven, actionable insights and decisions.
Think of it as the best conference panel you could imagine – a discussion with real takeaways that our enterprise audience can use to plot their digital transformation journey.
To join us, please contact our Editor in Chief Salvatore Salamone at [email protected].
Cultural challenges impede organizations from becoming responsive, agile, or autonomic. Decentralized autonomous organizations (DOAs) can help address such issues.By Dr. Setrag Khoshafian
From automating mundane tasks to free up more time for IT workers to providing a simple, all-encompassing experience for users, AI is the key to simplification in the enterprise.By Jeff Aaron
Call centers encumbered by worker questions and battling safe policies are turning to artificial intelligence (AI) technologies.By Zachariah Eslami
Covid-19 is providing enormous challenges but also new opportunities to rethink collaborations involving different service providers to achieve end-to-end services involving different participants.By Dr. Setrag Khoshafian
The lockdown, interruption of supply chains, and the emergence of virtual work shifts are accentuating the need for innovation, entrepreneurship, and autonomy.By Dr. Setrag Khoshafian
AI and machine learning are dependent on high-value data, which means IT departments need to have the proper visibility into what is happening on their networks.By Jeff Aaron
The methodologies are complementary, have commonalities, require different skills, and should be part of the overall meta-iterations within a concerted digital transformation effort.By Dr. Setrag Khoshafian
AI is becoming a technological norm to advance and modernize existing digital infrastructure, now the real question is, “what’s standing in my way?”By Zachariah Eslami
Knowing where data can be found, who has access to it, and how data is being used is fundamental when establishing effective data governance procedures.By Mathias Golombek
Businesses are moving beyond basic applications to use IoT to better manage key business processes, such as their end-to-end supply chain.By Fabio Belloni
The ultimate goal of an IoT implementation is to make connected things simple and secure so that it generates real-time data that can be analyzed and used to create desired business outcomes.By John Dauskurdas
By processing data immediately as it arrives, businesses can better understand what customers want and need right now instead of yesterday, last month, or last year.By Karthik Ramasamy
Quantum computing processing power could cut AI model training exponentially, and increase the speed of informed decision making dramatically.By Zachariah Eslami
Process + Data are both critical for innovation and transformation. The potential and the power of Data insights are realized in the digitized and automated processes.By Dr. Setrag Khoshafian
DataOps is an emerging set of agile practices, processes, and technologies for building and enhancing data and analytics pipelines to better meet business needs.By Dan Potter
The key to digital transformation success is to address issues related to customer orientation, business models, and technology.By Alan Glickenhouse