Intelligent CIO APAC Issue 22 - Page 77

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Simith Nambiar , Practice Lead , Emerging Tech , APJ , Rackspace Technology to deliver greater value to the modern cloud and data architecture built in Steps 1 and 2 .
Step 4 : Build intelligent applications
environments . This includes getting to know and understanding the business ’ current environment and requirements and defining a roadmap .
Companies also need to ensure that data architecture supports the new application deployments appropriately and that ingress / egress fees can be minimized while also maximizing performance and availability . This is also the stage when database transformations and data warehouse migrations are implemented .
Step 2 : Modernize the data architecture
Defining the modern data architecture , strategy and roadmap drive the transition into this phase . Focusing on modernizing the data architecture will help in defining , designing and building the data fabric . This phase includes pipelines and integration , data lakes and warehouses , and the analytics platform .
Step 3 : Set the stage for more innovation
AI / ML prepares the organization for high-quality automation and predictive intelligence – driving innovation to the next level . At this stage , designing , training and deploying the models , and operationalizing Machine Learning ( MLOps ) will enable the business
Finally , to start delivering strategic value and capability and realize the full value of this new cloud-based data fabric , intelligent applications that incorporate chatbot services , natural language processing , machine vision , recommendation engines , predictive maintenance and even actions can be deployed . With insights from Internet of Things ( IoT ) data , it is all possible now and forms a new foundation for the business .
Many organizations are still determining whether they will build internal AI / ML support or outsource it to a trusted partner . Given the high risk of implementation failure , the study also indicated that organizations ( 66 %) prefer working with an experienced provider to navigate the complexities of AI and Machine Learning development .
In addition , according to Gartner , a dearth of IT skills among staff , wage inflation and a war for talent will likely push Chief Information Officers ( CIOs ) to rely more on consultancies and managed service providers ( MSPs ) to pursue digital strategies .
As business attempts to bridge the gap between their digital ambitions and internal resources and capabilities , many firms will increasingly rely on external consultants to meet their business goals .
With the help of data , organizations can take their resources further , delivering intelligent applications , services and results , enabling the business to make smarter decisions , improve collaboration , deliver new revenue streams and business models , and transform customer experiences . p
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