This list celebrates changemakers creating meaningful impact through leadership, innovation, fresh perspectives, transformative mindsets, and lessons that resonate far beyond the workplace.
Mastering Innovation, Talent, and Fintech: Lessons from DisrupTV Ep. 222
In DisrupTV Episode 222, hosts R “Ray” Wang and Vala Afshar engage with three influential leaders:
Trends: Moving from RPA to Intelligent Autonomous Applications rwang0 Thu, 02/04/2021 - 15:53
Massive Evolution From RPA to Intelligent Autonomous Applications
The robotic process automation market has helped many clients increase speed, deliver higher accuracy, achieve greater levels of consistency, reduce costs, provide scale, and improve quality. Constellation estimates the market size in 2021 to achieve $2.2B in revenue with a CAGR of 18.8% and growth to $5.07B in 2026. RPA is a technology that enables automation of business processes using software robots "bots". RPA tools watch users and then repeat similar tasks in the graphical user interface (GUI). RPA is different than workflow automation tools as those are explicit rules and actions written to automate actions in an unintelligent manner. RPA tools have reached their limit in terms of capability as transactional automation requires a large overhead of management. These new class of enterprise apps known as autonomous applications emerge to deliver intelligent automation, cognitive capabilities, and artificial intelligence inside organizations.
AI and ML Powers The Future Of Autonomous Enterprises
Traditional transactional applications have run their course. The pressure to reduce margins, technical debt and investment in core systems creates tremendous incentives for the automated enterprise. Customers seek cognitive-based approaches in order to build the true foundation for automation and artificial intelligence–driven precision decisions. The benefits include less staffing, reduced errors, smarter decisions and security at scale. The quest for an autonomous enterprise starts with a desire to consider what decisions require intelligent automation versus human judgment.
Vendors from multiple fronts intend to deliver on this promise. Legacy enterprise resource planning providers, cloud vendors, business process management solutions, robotic process automation products, process-mining vendors and IT services firms with software solutions attempt to compete with pure-play vendors for both mind share and market dominance in this market, which Constellation Research expects to hit $10.35 billion by 2030. Constellation believes every enterprise will design for self-driving, self-learning, and self-healing sentience.
Understand The Five Levels To Full Autonomy And Autonomous Enterprises
Constellation identifies five levels of autonomous enterprises and predicts when these cognitive apps will deliver full autonomy.
Level 1 Autonomous Enterprise: Basic Automation
In this level, the system can provide basic task and workflow automation. In the automotive world, this is akin to basic cruise control.
When? Today.
Includes: Basic process automation tools such as BPM, manual instrumentation and control, and intelligent workflow automation
Who’s in control? Humans are still in control and guide many manual steps.
Level 2 Autonomous Enterprise: Human-Directed
Level 2 enables human-directed automation of business processes. In the automotive world, this is akin to being able to have adaptive cruise control.
When? Current state of the art
Includes: Robotic process automation, process-mining tools, journey orchestration tools, ML algorithms, natural language processing.
Who’s in control? Humans direct major decisions; minor decisions automated over time with some effort in training.
Level 3 Autonomous Enterprise: Machine Intervention
Level 3 delivers automation with occasional machine intervention. In the automotive world, this is when the car breaks on its own with object detection such as when a child is behind a car during backup and the car brakes.
When? The next big thing in 2020.
Includes: Cognitive applications, neural networks, GANs models, contextual decisions and next best actions.
Who’s driving? Humans still on standby but can be hands-off for periods of time
Level 4 Autonomous Enterprise: Fully Autonomous
Level 4 presumes that the machines can deliver full automation but not sentience. Think of autonomous vehicles that can run on their own but humans are still watching.
When? Sometime in 2023.
Includes: AI-driven smart services, full automation, self-learning, self-healing and self-securing.
Who’s driving? Machines are fully automated.
Level 5 Autonomous Enterprise: Humans Optional
Level 5 achieves full sentience and humans may no longer be needed. Think of these as autonomous vehicles with no human intervention and central controls by machines.
When? 2030.
Includes: Fully autonomous sentience, empowering precision decisions at scale.
Who’s driving? Humans fully optional.
The Bottom Line: Expect Level 4 Autonomous Enterprises To Emerge In 2023
The pioneering work with early cognitive applications show exponential progress in achieving Level 4 status by 2023. Organizations will have to rethink how they work with their transactional applications, future data-driven digital networks, and distributed compute and storage environments. The future is autonomous. Machines will deliver services that are continuous, auto-compliant, self-healing, self-learning, and self-aware. The need for greater precision decisions will require connections to data-driven digital networks and for more and more sources of data. This battle for public, private, and shared data will shape who wins in new networked economies that form the future of this autonomous decade
@rwang0 R Ray Wang SoftwareInsider Software Insider Constellation Research Insider Associates RPA autonomous enterprises automation robotic process automation CIO CTO cfo COO finance CX HCM planning ERP Commerce digital transformation
The great thing about encryption is it turns your precious information into meaningless random gobbledegook, utterly useless to any adversary or bystander. The problem with encryption is your precious information is useless to you too.
While encryption can protect data at rest against attack (and encryption of data in transit is table stakes) it usually means your data in an encrypted state cannot be searched, filtered, sorted, analysed or reported on. It can't be used.
ConstellationTV is here to bring you the latest in what is disruptive and reshaping business and technology. In every episode, you’ll hear from our fellow analysts, from leaders across our network of business transformation experts and influencers, as well as from cutting edge vendors.
Mastering Personal Branding, AI Strategy & Digital Transformation | DisrupTV Ep. 221
In DisrupTV Episode 221, hosts R “Ray” Wang and Vala Afshar engage with three influential leaders:
Over the last year, the world has undergone a true work revolution the likes of which has never quite happened before now, as it did in 2020. Whatâs more, this revolution took place more quickly than just about anyone thought it could or would. Accompanying the many changes that have happened are new business contingency methods which have employed during the pandemic that were only possible because of recent technology trends like widespread Internet connectivity, the cloud, and mobile devices.
Navigating the Future of Data, AI, and Tech Leadership | DisrupTV Ep. 220
In DisrupTV Episode 220, hosts R “Ray” Wang and Vala Afshar engage with three influential leaders:
DisrupTV Episode 219: Quantum Computing, DevOps Innovation & XR Leadership
In DisrupTV Episode 219, hosts R “Ray” Wang and Vala Afshar engage with three influential leaders:
This week, Salesforce unveiled its new stand-alone Loyalty Management solution, promising a unified platform able to manage programs in both B2B and B2C environments. While intentionally designed to manage loyalty schemes end-to-end within the platform, as with all things Salesforce, the story comes to life when the loyalty solution is integrated into the entirety of the Salesforce arsenal.
Customer data. It’s increasingly viewed by businesses as the valuable asset it should be. But there’s a persistent problem I keep bumping into when it comes to talking about and describing customer data: misuse of terms.
Humanizing HealthTech: Digital Strategy, Patient-Centric Innovation & Bioethics | DisrupTV Ep. 218
In DisrupTV Episode 218, hosts R “Ray” Wang and Vala Afshar welcome a dynamic trio shaping the future of healthcare technology:
ConstellationTV is here to bring you the latest in what is disruptive and reshaping business and technology. In every episode, you’ll hear from our fellow analysts, from leaders across our network of business transformation experts and influencers, as well as from cutting edge vendors.
As itâs always been the case with emerging technologies, consumers adopt them in small increments. Aside from rare groundbreaking new products like the iPhone, consumers are looking for simple, small improvements to digital solutions and devices that they are already familiar with. Because for the average consumer, the barrier to experience â or unfamiliarity with a new technology - is more costly and disruptive than its potential benefit.
ConstellationTV is here to bring you the latest in what is disruptive and reshaping business and technology. In every episode, you’ll hear from our fellow analysts, from leaders across our network of business transformation experts and influencers, as well as from cutting edge vendors.