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].
Expert Articles
8 Steps to Achieving Effective Hyperautomation
Hyperautomation is here to stay, and businesses will need to learn how to leverage it fully to remain competitive in our increasingly digital world.
By Mathias Golombek
Can the Real Web 3.0 Please Stand Up?
At its core, Web 3.0 is attempting to empower organizations and individuals by getting rid of centralization and intermediaries.
By Dr. Setrag Khoshafian
Blockchain for Decentralized Autonomous Organizations (DAO): Covid-19 Impact
Cultural challenges impede organizations from becoming responsive, agile, or autonomic. Decentralized autonomous organizations (DOAs) can help address such issues.
By Dr. Setrag Khoshafian
Covid-19 IT Challenges
The Covid-19 pandemic pushes many enterprises to re-consider their digital transformation and modernization initiatives, especially for automation.
By Dr. Setrag Khoshafian
Why CIOs are Turning to AI for Better Human Experiences
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
Strength in Partners: Implementing AI to Address a Global Pandemic
Call centers encumbered by worker questions and battling safe policies are turning to artificial intelligence (AI) technologies.
By Zachariah Eslami
Blockchain for Master Data Management
Blockchain is essential for digital transformation. There is no other technology on the horizon that is decentralized, fault-tolerant, secure, and reliable for inter-Enterprise Master Data Management.
By Dr. Setrag Khoshafian
3DP, Blockchain, IoT, & VSaaS Trends for Covid-19: Part II
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
2020 Trends and Challenges Impacted by Covid-19: Part I
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 Will Be The Most Powerful Tool for Real-Time Analytics
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
Four Intelligent Automation Methodologies – One Objective
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
Overcoming the Barriers to Successfully Scaling AI
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
Data Governance: Why It’s Fundamental and How to Implement an Effective Strategy
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
Blockchain Intelligence (AI) in Value Chains
AI is an integral part of Digital Process Automation, and the potential of AI optimizations for on-chain (Blockchain transactions) and off-chain data (IoT, customer, etc.) are tremendous.
By Dr. Setrag Khoshafian
DPA Prioritization in Design Thinking
The Enterprise-In-Motion needs to encourage and promote design thinking initiatives.
By Dr. Setrag Khoshafian
Understanding the Different Levels of Location Accuracy
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 BelloniSmart Ways Your Company Can Make the Most Out of IoT
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
How to Successfully Adopt Fast Data: The Leader’s Guide
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
The Next Challenge for API Management: Real-Time
30% of data will be real-time by 2025 making real-time API management critical for the successful deployment of event-based applications.
By Sean Bowen
Corner the Market: How AI and Quantum Computing will Revolutionize the Speed and Scale of Trading
Quantum computing processing power could cut AI model training exponentially, and increase the speed of informed decision making dramatically.
By Zachariah Eslami
Process + Master Data & Digital Transformation, Part II
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: The Antidote for Congested Data Pipelines
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
Overcoming the 3 Largest Obstacles to Digital Transformation
The key to digital transformation success is to address issues related to customer orientation, business models, and technology.
By Alan Glickenhouse
Process + Data: It’s About Time!
Enterprise reference architectures and stacks are becoming increasingly cluttered and complex. What’s needed is a pragmatic approach that focuses on process and data.
By Dr. Setrag Khoshafian
Agile Ways to Transform How You Work with Data
To reap long-term benefits from data analytics, enterprises must prioritize agility, reusability and faster application delivery.
By Mathias Golombek