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Jayakumar Rajaretnam · Technology Consultant · AI Strategist

Perspectives on AI,
Data & the Future of Work

Long-form thinking on enterprise AI, data strategy, and digital transformation — written for the leaders navigating it.

  • Hadoop – The Little Known Yellow Elephant

    What is Hadoop? Apache Hadoop is an open-source Java framework for processing and querying vast amounts of data (multi-petabytes) on large clusters of commodity hardware. The original concept behind Hadoop comes from Google’s BigTable. Hadoop is an initiative started and led by Yahoo! Today Apache Hadoop has become an enterprise-ready cloud computing technology and is…

  • Before Big Data gets any bigger… Catch it.

    What is Big Data? In non-technical language, as the name states, ‘big data’ is the term used for voluminous data (structured, semi-structured, and unstructured data). Unfortunately, many traditional tools are now capable of handling terabytes to petabytes of data, and hence, the definition of big data includes the ability to process this monster data also….

  • The Big Jump!

    Never even dreamt that I would do this one day. Let me date things back a little to explain where and how it all started. My friend Bhuvan did all the research and mentioned that there is a place called Umm-Al-Quwain where we can skydive and wanted to know if I was interested. It was…

  • BICC Vs BI CoE Vs DG

    Focus on the concept. Not the name Let me start with BICC and BI CoE. From what I have read till now in articles and books like “Business Intelligence for Dummies,” there is hardly any difference between the two. However, if there is a choice, they prefer CoE over a competency center. The reason quoted…

  • Data Governance: A beginner’s approach to Level-2 implementation

    The 3-Level approachThe 3-level approach (Figure 1) works well when the organization is serious, has the required funding, has resources to execute, and has a mature Enterprise Information Management (EIM) setup. In organizations where the IT team is pressurized to show tangible output for every penny invested, a 4-level approach as shown in Figure 2…

  • Data Governance: A reality check

    Abstract Giving data governance recommendations is easy, but implementing them is altogether a different ball game. Organizations do realize the importance and value of data governance initiatives, but when it comes to funding and prioritization of such initiatives, it always takes a lower priority. Over a period, governance becomes the root cause of a handful…

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    C-D-EC model: Consulting – Delivery – Extended Consulting/Collaboration Model

    Are you faced with questions like,
    ‘Consulting – Is it an Expense or an Investment?’
    ‘Strategy – Is it just a jargon or a savior?’
    ‘Roadmap – Is it on track as planned? How do I do a health check?’
    Corporates over a period of time had invested a lot of money in various tools and technologies to cater to the needs of various departments within their organization. This has now grown into a mammoth and has started to eat into their profits through licensing costs, maintenance costs, etc. Sometimes one has lost count of the number of application in the landscape, has no clue what a particular application is for, who is using it and why it was needed in the first place? The impact of this has become even more evident especially during the recession period as the IT budgets became slim and expectations from the top management to cut costs increased. The CIO now needs to strategize the IT spends to manage the cost within the budget. This paper tries to address where the CIO can start and how to leverage the services provided by various IT service providers.

    Read on to find out how the recession hit industries can leverage the consulting arm of the IT service providers to cut costs and at the same time get a futuristic view of their architecture / approach.