Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. AIOps is an emerging IT practice of applying analytics and machine learning to IT operations that enables reduced MTTR [Mean Time To Respond], predictive analysis, proactive performance monitoring, and provides actionable insights for faster decision-making.

"As Enterprises continue to embrace NetDevOps, the challenges are significant when it comes to reducing the barriers between development and operations," said Mani Ganesan, Head of Product, Prosimo. "The IAC Toolkit helps simplify operations and management of applications' life cycle. This improves business and IT alignment, accelerating business velocity. In today's competitive landscape, this is critical for organizations. AI ML in Marketing: AI and Big Data Analysis Used to Find Brands' Emotional Connection

At a moment in time when the value of business agility is becoming clearer than ever, a growing range of diverse brands and businesses are prioritizing agility and engaging in digital transformations. Business agility unlocks greater operational flexibility, more nimble and responsive pivots to new processes or priorities, and smarter and more strategic decision-making -- all of which is enormously valuable in an increasingly tech-savvy and competitive professional environment, as discussed in my previous article. One of the most powerful tools that can be deployed to make that transformation successful is artificial intelligence (AI). AI-powered tools and tech form the backbone of systems and solutions that help companies become more agile. What follows is a brief overview of how agile methodologies emerged and why AI delivers such valuable synergies with agile business.

Bias has emerged as an increasing concern in machine learning (ML) and other analytic models. Let's take a look at the definition of bias. In a recent New York Times article, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein assert that bias is an error that causes people to have inclinations or opinions toward or against something. This is why we worry so much that the historical data used may create a predictable error in an analytic or machine learning model. But beyond bias is the issue of "noise" in decision-making.

As businesses look for ways to transform their organizations in an era of uncertainty and emerging competitive threats, many are turning to artificial intelligence technology. Hundreds, if not thousands, of software companies are already designing their products with a foundation of AI. AI can provide significant tools to help businesses take advantage of their data and knowledge. But as with any complex business transformation, there are no quick solutions – solving complicated problems requires careful planning and a well-constructed roadmap. What is the best way to embark on an AI strategy that can help support your business goals? Three key imperatives can help your organization make good use of this powerful capability.

To drive business agility and accelerate IT transformation, an integrated hybrid multicloud and AI strategy is key. For a competitive advantage IT transformation has become imperative for all modern enterprises. The agility of any organisation will depend on the IT infrastructure. IT infrastructure will also define how quickly an organisation can scale and how well it can serve it's customer based on every changing dynamic digital landscape. As economies are becoming more digital – cobbled with rapidly expanding, ever evolving markets, IT infrastructure should ensure organisations must be able to match its pace.

To drive business agility and accelerate IT transformation, an integrated hybrid multicloud and AI strategy is key. IT transformation is the basis of competitive advantage for modern enterprises. Your IT infrastructure determines how quickly you can respond to new market opportunities, how fast you scale, and how well you can serve your customers. As the digital economy continues to rapidly expand and evolve, organizations must be able to match its pace. Cloud computing has proven to be instrumental in powering digital transformation that is crucial to achieving true business agility, and hybrid multicloud--the next generation of cloud--is the most flexible and effective IT architecture for innovation.

Arxan, a provider of application protection solutions has been acquired to come together with CollabNet VersionOne and XebiaLabs to form Digital.ai, a new software company bringing together business agility, software delivery, and application security into one integrated value stream platform. Terms of the combination are not being disclosed. Backed by TPG Capital, Digital.ai is aimed to revolutionise how enterprises manage digital products that provide value, accelerate revenue growth and enable innovation in today's world. With the addition of Arxan Technologies, Digital.ai platform offers "Security by Design" as an integral part of the software development lifecycle. Arxan provides patented security capabilities such as a dynamic app policy engine, obfuscation, code hardening, threat analytics, white-box cryptography and encryption, and rapid app protection deployment designed for DevOps processes.

Agile has finally jumped the technology shark, expanding outside the software world. Enterprises are now increasingly adopting Agile practices across their organizations in order to successfully navigate the disruptive waters that threaten to drown them. In our quest for establishing change as a core competency in our organizations, this business-centric notion of Agile is an essential component of Agile Digital Transformation. In the years since the publication of the Agile Manifesto, the connection between building better software and business agility has been a tenuous one at best. But now that Agile is maturing and Digital Transformation is driving change across enterprises large and small, companies are realizing that their best bet for achieving business agility is to take the best of Agile and apply it across the entire organization.