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Agents will begin replacing services Software has evolved from big, monolithic systems running on mainframes, to desktop apps, to distributed, service-based architectures, web applications, and mobile apps. Agents can be more loosely coupled than services, making these architectures more flexible, resilient and smart.
It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificialintelligence — all of which have no clear end point, nor are exclusively technology-focused. Digital transformation isn’t dead — it’s becoming table stakes.
At the same time, it’s been possible to avoid excessive dependencies by building up or strengthening internal vendormanagement capacities. More than ever, their expertise and resources are being consulted when developing a roadmap, as well as planning and implementing a transformation process.
While I expected this exercise to confirm that consolidation is real, I was pleasantly surprised with the degree to which the CIO Tech Talk Community confirmed it – and how they are taking steps to realign their procurement and vendormanagement strategies. 10X in 10 Years – can this continue?
This very thin technology layer was probably one of the best things we did architecturally because it allows us to experiment with a certain model, and then switch things out if another provider has something better suited to what we’re trying to do.” This was critical across both projects.
AI vendormanagement Only the biggest companies are going to build or manage their own AI models, and even those will rely on vendors to provide most of the AI they use. Data warehouses then evolved into data lakes, and then data fabrics and other enterprise-wide data architectures.
What is difficult is seeing what fits the specific logic of your particular industry, and what fits the architecture and what can scale.” ArtificialIntelligence, CIO, IT Leadership, VendorManagement, Vendors and Providers “Inventing new innovative things in a lab environment isn’t that difficult.
Last year, as many CIOs ramped up for their first round of Scope 3 reporting, gen AI found its way into virtually every office. Sometimes it came in through the front door, but in most cases, it seeped in quietly, as knowledge workers experimented with it to write documents and email without necessarily admitting they were doing so.
Buyer demand for greater value from insights and technology such as RPA, data science, machine learning, and advanced analytics are forcing both classical BPO and omnichannel BPO vendors to retool themselves into insights-driven BPO's.
He has 20 years’ experience in IT strategy, architecture, implementation, and governance, and is a qualified Chartered Accountant with a certification in contemporary business analytics practices from IIM Kolkata. Previously, he was head of IT at PNB Housing Finance Ltd., Nitin Mittal joins Zee Entertainment Enterprises.
In an era marked by heightened environmental, social and governance (ESG) scrutiny and rapid artificialintelligence (AI) adoption, the integration of actionable sustainable principles in enterprise architecture (EA) is indispensable.
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