April 29, 2024
Kannan Subbiah
FCA | CISA | CGEIT | CCISO | GRC Consulting | Independent Director | Enterprise & Solution Architecture | Former Sr. VP & CTO of MF Utilities | BU Soft Tech | itTrident
Considering what’s happened over the last few years, I hope we are witnessing the end of single-vendor-backed open-source projects. Many of these companies see open source as a vehicle to drive the adoption of their software and then switch to a prohibitive license once the software starts to reach massive adoption through a cloud provider. This has happened more times in recent years than I care to count. There are only a few companies that can reliably provide open-source software without hurting their own bottom line. These are the software giants like AWS, Google, and Microsoft. They can comfortably contribute to open-source software and collaborate with companies who specialize in some of the more niche use cases. They may not have been able to cover these niches on their own, but with the help of the community they can. And at the end of the day, even the smaller companies who provide managed offerings need somewhere to host them, right? I see a bright future for Valkey, the open-source fork of Redis. It’s starting off right in the Linux Foundation, where companies contribute freely without fear of a single company dictating the direction of a project.
Traditionally, data analysis has been the domain of highly skilled data scientists and BI experts. Augmented analytics changes this dynamic by empowering non-technical users to participate actively in the insight-generation process. Augmented analytics automates complex tasks and presents information in a user-friendly format so that employees across departments can easily access, explore, and derive insights from their organization’s data. This will both streamline and simplify business processes – no more worrying about how many business accounts you should have, whether or not your financing option offers optimal interest rates, or if adopting new standards of technologies is worth it in the long run. The relevant teams can easily use data to find the right information without waiting for an expert to analyze it. ... One of the most significant challenges faced by businesses is the shortage of data science expertise. Augmented analytics helps alleviate this bottleneck by reducing the reliance on specialized data professionals.
Generative Adversarial Networks (GANs) emerged in 2014 and quickly became one of the most effective models for generating synthetic content, both text and images. The basic principle involves pitting two different algorithms against each other. One is known as the ‘generator,’ and the other is known as the ‘discriminator,’ and both are given the task of getting better and better at out-foxing each other. ... Neural Radiance Fields (NeRFs) are the newest technology covered here, only emerging onto the scene in 2020. Unlike the other generative technologies, they are specifically used to create representations of 3D objects using deep learning. This means creating an aspect of an image that can't be seen by the ‘camera’ ... One of the latest advancements in the field of generative AI is the development of hybrid models, which combine various techniques to create innovative content generation systems. These models draw on the strengths of different approaches, such as blending the adversarial training of Generative Adversarial Networks (GANs) with the iterative denoising of diffusion models to produce more refined and realistic outputs.
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The power of upskilling is undeniable but putting it into practice with employees is the real challenge. The top reason organizations struggle to implement successful upskilling programs has not changed in the last three years of this study: lack of time. Despite clear barriers, organizations can unlock upskilling engagement with a culture of continuous learning. The first step is to identify existing skills in order to see the gaps. Leaders need to stay engaged in this process: only 33% of executives completely understand the skills their IT teams need and 68% of technologists say leadership at their organization is not aware of a tech skills gap. When it comes to discovering what drives employees to upskill, a new #1 motivation to participate emerged this year: stronger job security and improved confidence. This is yet another proof point in upskilling contributing to higher employee engagement that can drive performance and innovation. With 78% of organizations abandoning projects partway through because of not having enough employees with the right tech skills, there is no time to waste in closing the gap.
Comparing statistics for global companies and their overall state of readiness, between the years 2022-2023 and 2023-2024, shows certain surprising changes. The number of Mature companies dropped to 3% this year from 15% in the previous year. The number of Progressive companies dropped by 4% this year; however, the number of Formative companies increased by 13%. In addition, more Beginners were included in the index this year. Raymond Janse van Rensburg, VP, specialists and solutions engineering, APJC, Cisco, said this should not be considered as a static comparison, as the benchmark was done with “a lot more capabilities” this year. "Digitization continues to accelerate around us. We see that there is pressure on organizations to transform. But with that, the attack surface is changing, and there is a lot of technology advancement that is taking place as well," said van Rensburg. "We need to keep pace with change, with the transformation of the organizations, and also to keep pace with change for cybersecurity and the capabilities we bring in across the industry to provide the necessary protections."
A true risk orchestration platform synchronises workflows and data and enables customisable journeys. Waterfalling reduces friction and saves costs, ensuring appropriate checks are only applied as necessary. Genuine customers are fast-tracked, while others are routed for additional due diligence. The technology unites complex systems and processes to create a single view of customer risk, a unified risk score and automated decision making. ... In true risk orchestration, all of these processes are seamlessly synchronised to deliver a single view of customer risk. Informed decision making is made simpler, smoother, more accurate and efficient. The impact of this is felt not only in customer satisfaction, which can be vastly enhanced by the speed at which individuals are authenticated and served, but in the overall effectiveness of compliance processes too, in terms of how much time and resource is spent. To that end, there’s a genuine bottom-line benefit to be realised through effective risk orchestration of your compliance processes.?