Data Management

Data Management
Can CIOs act as the CDOs for organizations today? Or do companies really need a separate CDO who can partner with the business and IT to drive digital transformation?”

Top Answer : First, worth clarifying if we are talking Chief DIGITAL or Chief DATA Officer. In either case, while I used to think that the existence of the CDO meant that the CIO was failing at their jobs, in  today's world, I think the roles are distinctly different, though in the end it really depends on the people.  CDOs as digital officers are really focused on the digital transformation of their companies, and inherently have an external focus.  CDOs as data officers are focused on key information management within the company - optimizing data as an asset.  The CIO at many companies predominantly focused on internal operations, business and user productivity. The skillsets needed and more importantly, the incentives for these objectives are often different.  Intertwining them is possible, but I think in many cases companies are better served by having a separate focus.   All of that is dependent on whom we are talking about both in terms of people and the business.  The people matter even more in this question than anything.  A company with a super strong CIO working for a digitally minded CEO probably doesn't benefit from a CDO nearly as much as an internally focused CIO working in a business with complex operations that has also recently decided to transform the delivery of their products to include more digital delivery would.   So in the end, I think it really depends.

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How will edge computing evolve in the near future?

Top Answer : From an edge computing standpoint, 5G will enable us to go from one lane of freeway to 100 lanes in terms of capacity and the sheer volume of data that we’ll be able to move. And thinking about it from a speed standpoint, latency will be 1/10th. It's 10x faster and 100x more bandwidth. So whether we like it or not, when these things truly light up you’ll have AI chips, full 5G capabilities, femtocells, picocells and everything else distributed, because it is required. There are 10x more towers that need to be localized with people than we have today. So there are lots of problems with that but it will be user-driven and machine-driven. Because when I can do 100x more bandwidth and 10x faster, the user experience will drive the behavior of what happens in the background. There’s no way this data tsunami that’s coming in can be processed in the core so there's a business demand that will come in.

What are your thoughts on SaaS management platforms (SMP)?

Top Answer :

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Where do you think your organization needs the most help in the Cloud related technologies / solutions?

Top Answer : These votes are interesting. While initially "Cloud native development" was leading in comparison with "Cloud migration", currently it looks like (at 88 votes), "Cloud migration" is leading and the Cloud native development has lagged.   Does that mean Organizations are yet to migrate many of their workloads to Cloud yet (at the end of 2021), and Cloud native development takes a backseat in the priorities overall?

Adopting Data-as-a-ServiceAdopting Data-as-a-Service

What does "data-as-a-service" mean? 100 IT execs share their thoughts with the Pulse community.

Is edge computing a real solution to data loss prevention?

Top Answer : We are producing insane amounts of data. But if we don't know what we can do with the data, data is useless. That's why you will see a lot of data being lost early on. But as people start understanding the power of data, they will start capturing it from the edge. The question is whether to do asynchronous or synchronous capturing and transfer. Those depend on the quality of bandwidth and of the compute power used to transfer that data. A lot of companies are looking at asynchronous transfer. The edge device or edge paradigm has enough to store it for a few hours or a day and then it can transfer the data one batch at a time, to make sure it is not overwhelmed.

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Who is winning the Cloud wars?

Top Answer : The consumer. All 3 are great platforms and while each may excel in certain areas, all are capable of supporting today's demands for quick and agile digital transformation initiatives. A multi-cloud strategy has become the norm and the choice of "primary provider" comes down to individual business needs, necessary integrations, and existing partnerships (and sometimes personal preference :) .

At enterprise-level organizations, what are some of the common mistakes that technology leaders make when trying to modernize?

Top Answer : Organizations have to work on making themselves modern and updated in terms of technology, processes and mind set. Systems, technology, architecture etc., all need to go through a process to be fitter and up-to-date with the technology and speed of today. That is the key objective because speed is absolutely necessary to survive in any business. For example, companies that are focusing on data can dedicate a team to understand required data as well as data analytics. Data visualization tools can be implemented or built and all the legacy systems and data can be completely cleaned from the system.  A lot of technology leaders are not interested in doing this kind of cleanup activity because they think it’s a large undertaking and since they'll only be in their role for two or maybe three years, they won't touch it because it could be a big mess. So nobody is interested in cleaning. The CIOs and CTOs who are interested don’t have support from the C-suite of their organization, either in terms of budget or risk. And there is also a fear about the workforce: If there are 100 people doing a job and then the same job can be done by 30 people, what do you do with the other 70? These employees are all experienced and they can always be placed elsewhere within the organization or given different responsibilities. It’s a big challenge but if you look at large startups like Amazon, Uber or OYO, they're all very fast-paced, their revenue is high and their workforce is much smaller in comparison to traditional enterprises.  And they are doing a lot with a smaller workforce. Every day you get a new feature or they delete something from their app. If you book OYO rooms very frequently, for example, you get a different status automatically. But if you are a high-paying customer in the mobile subscriber world, providers are not able to acknowledge you because nothing is customer-specific. Those who pay $1 or $2 per month and those who pay $200 per month all have the same features from the operator’s point of view. These customers don't benefit because there is no system for that. The company doesn’t have the technology to do it and if they want to get it, it is a big job.