Technology has been a key enabler of business transformation during the last decade. As technology continues to evolve, new challenges continue to emerge and along with that, new opportunities and trends. Kyndryl India’s technical leaders work with companies worldwide to help them tackle their most pressing business objectives in modern ways. They reveal the most influential trends that will impact IT decision-making in 2023 and beyond.
Sreekrishnan Venkateswaran, Chief Technology Officer, Kyndryl India
Human-like intelligence will continue to permeate into many facets of life and business in 2023. The cognitive bot ChatGPT released earlier this month is already making waves as a harbinger of staggering possibilities; it has passed the famed Turing Test, an indicator of artificial intelligence maturity. It is at the intersection of new technologies that emerging market challenges are often solved. We are seeing how multiple exponential technologies are coming together to create fintech, which is innovatively addressing formidable problems in the financial services space. There are a set of synergistic technologies that will act as force-multipliers in the next years – Artificial Intelligence at the Edge, Private 5G, Drone systems, Blockchain and Industrial Metaverse will see a multi-year adoption maturity horizon, but will grow rapidly and cross paths in 2023.
Naveen Kamat, Executive Director & CTO, Data and AI Services, Kyndryl India
“A lot of roles and topics related to Data and AI – like AI ethics, trust and transparency, role of DataOps and AI/ML engineering – will become mainstream. Factors such as model deployment, scaling AI across the enterprise, and reducing time to insight and time to value will become the key success criteria for business and so the roles of engineers in these areas will become critical. The use of AI in solutions targeting personalized insights are expected to undergo large scale adoption and so responsible AI solutions are expected to become more mainstream. Data observability across it’s lifecycle will become essential for delivering AI at scale across the enterprise. Without a robust, secure data foundation and DataOps, it will be hard to scale and democratize data consumption.”
S.R. Srinidhi, Cloud Practice Leader, Kyndryl India
Cloud Native platforms will be a great trend in the FSS segment as it leverages the agility and scalability of cloud native platforms to build a microservices-based application architecture that powers virtual debit/credit card services, automated E-KYC etc. Cybersecurity Mesh architecture will provide a holistic approach to protecting assets regardless of their location, type, and ownership to minimize the financial impact due to security incidents. SuperApps and composable applications will help in creating collapsible, reusable modules that can be used by developers to assemble and rapidly create apps which will reduce time to market for businesses. An increased focus on complex cloud adoption will also push hyper-automation that will help customers reduce their time to market and human errors.
Saket Verma, Cybersecurity Practice Leader, Kyndryl India
In cybersecurity, the key technologies to watch out for are Next Generation Breach Detection (beyond log analysis), Zero Trust model adoption (beyond point controls) and Enhanced Detection & Response solutions (beyond Extended Detection and Response [XDR] solutions).
With advancements in application of Artificial Intelligence (AI) across the full cybersecurity spectrum, faster breach detection is an area of immediate focus. IoT, 5G, hybrid work environment and other technology trends that has increased the digital surface, making the traditional security perimeter very fluid and rendering the traditional point solutions redundant. The Zero Trust approach to designing cyber defences will gain traction as it is built on the twin tenets of ‘systems thinking’ and ‘default mistrust’ to crafting the cybersecurity blueprint for any organization.
The increase in threat surface is also pushing the traditional threat detection technologies (including Endpoint Detection Response [EDR]) to evolve rapidly (say, XDR) and include cloud workloads, email, network, servers, and other evolving information systems. The whole discipline of traditional log analysis is going through a paradigm shift due to AI powered automation and intelligence. Consequently, this Next Gen Detection and Response (ngXDR) theatre has much more to offer and we will keep seeing next gen platforms take a more integrated view of various threat surfaces, deeper holistic incident analysis and turbo charging their response posture leveraging AI.
