November 24, 2022
Kannan Subbiah
FCA | CISA | CGEIT | CCISO | GRC Consulting | Independent Director | Enterprise & Solution Architecture | Former Sr. VP & CTO of MF Utilities | BU Soft Tech | itTrident
It’s an extremely unrealistic scenario that will probably never happen. Every time a shiny new blockchain platform for the metaverse arrives, loaded with promise, it leads to the arrival of new flaws and problems that must be overcome. New chains are made to solve these new issues, and yet more problems arise. And so the cycle of innovation goes on and on. These new blockchains do offer some interesting solutions and benefits, hence they become fertile breeding grounds for numerous developers to experiment with new metaverse projects and decentralized applications. That fuels greater interest in the metaverse, prodding users to further explore the world of Web3 and the multitude of other blockchains that support it. Different chains have different strengths and play host to different metaverse worlds, and users soon understand the need to be able to move across these networks. Mobility across chains is a must, as it is the only thing that enables true metaverse freedom. At present, so-called blockchain bridges are the go-to mechanism for moving digital assets across chains.?
One of the keys to delivering patient-centered care is gaining a full understanding of the individual and actively engaging them in their outcomes. But for this to become a reality, patients and their providers need access to medical records and open lines of communication matched to patient preferences. The cloud enables centralized access to patient records, giving healthcare providers a full view of the tests, diagnoses, treatments and other patient information. The addition of artificial intelligence (AI) in cloud-based solutions is enhancing care by analyzing vast amounts of patient data and offering insights that aid in clinical decision-making, which can result in faster time-to-treatment and better outcomes. ... In the past, connecting with physicians outside of appointments often turned into a game of phone tag and resulted in multiple voicemails. But with the cloud supporting patient portals, video chat and text messaging, patients and their providers have more ways to communicate. They can quickly exchange information or ask and answer questions electronically at their convenience, and refer back to those messages should they forget something.?
In the fully digital era, when employees have the flexibility to work from anywhere, eliminating data silos will be key to improving organization-wide collaboration. Part of the challenge is completely digitizing an organization’s documents and workflows. The other piece is creating a central repository for digital data – one that’s universally accessible to and shared by multiple teams within an organization. According to a recent study by S&P Global Market Intelligence, only 17% of those surveyed said that their organizations had a single source of truth where everyone could access the knowledge they created. If businesses want to realize the benefits that come with fully digital processes, there’s still more work to do. Investing in full digitization, including a unified document system, will make the most of an organization’s data while significantly reducing costs and enhancing collaboration, improving interactions between team members wherever they may be located.
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No-code platforms usually target industry-specific functions, with their primary audience being non-technical users who wish to optimise their business operations. Low-code platforms, on the other hand, typically target developers who are operating under a time constraint. They are used to deliver applications quickly and conserve resources which can be better utilised to create something that has more impact on the organisation’s bottom line. Since no-code platforms usually target a line of business users, who look to create applications that can be used to expedite their business operations, they provide a host of benefits. Not only do these platforms open up access to creating code-based solutions to non-codes, the feature-rich nature of modern no-code environments allow developers to solve problems unique to their line of work. In addition to this, no-code platforms can also be used to automate workflows, thereby saving more resources. As with any upcoming market, there are challenges associated with no-code and low-code platforms.?
The role of the Data Protection Office (DPO) is also likely to change, as rules for smaller organisations in particular are loosened as the government tries to create some advantages of Brexit for smaller business which economic data suggests are somewhat thin on the ground right now. The panel all expressed concerns about how DPOs will potentially be replaced with Senior Responsible Individuals (SRIs) who will have the seniority but not necessarily the in depth knowledge necessary for the role. Patrick Burgess, Co-Founder & technical Director of MSP Nutborne Ltd. commented: "Already in the non-enterprise world you often find people are nominated as DPO and they aren't necessarily trained. That person needs to be supported at the highest level or it really is just a box ticking exercise. You have to give people the right powers, responsibilities and training and not get cross when they tell you what you don't want to hear." None of these issues are necessarily going to be resolved by swapping out SRI's for DPOs, although they are, as Kon pointed out, theoretically harder to fire if they sit at board level.
“In many cases, big data is a big data swamp,” he said in his presentation, “The Big Data Delusion - How to Identify the Right Data to Power AI Systems.” The problem, he said, comes from traditional analytical systems and approaches being applied to outsized amounts of data. For example, an unnamed fintech company that was a customer of EastBanc had huge datasets of its customer data, transactional data, and behavioral data that was cleaned by one team then transferred to another team that enhanced the data. While such an approach may be sufficient, Shilo said it can also slow things down. The fintech company, he said, wanted a way to use its data to predict which of its customers would be receptive to contact. The trouble was it seemed to be a herculean task under traditional processes. “Their current team looked at the task and estimated the effort would take four, five months to complete,” Shilo said. “That’s a lot of time.”