December 03, 2023
Kannan Subbiah
FCA | CISA | CGEIT | CCISO | GRC Consulting | Independent Director | Enterprise & Solution Architecture | Former Sr. VP & CTO of MF Utilities | BU Soft Tech | itTrident
The need to upskill India’s tech talent is critical. Why? Because India has perhaps the most to gain or lose when it comes to the impact of Generative AI. A survey by ServiceNow found that India faces a critical need to upskill 1.62 crore workers in AI and automation, creating 4.7 million new jobs in technology by 2027 to meet the nation’s skill deficit. ... Now, the question is, can Generative AI help train such a large young population? Yes! This technology can create personalized learning paths. With modules integrated with AI to optimize outcomes, students can learn better with real-time feedback and take advantage of a more customized learning experience. If India has to become a global economic superpower, engineers must become tech-agnostic and adaptable in a world that’s changing fast. A Generative AI layer must be integrated into their education modules. This will equip them with cutting-edge skills and ensure versatility – from software developers to prompt engineers, enabling them to navigate diverse technological domains.
Don't just speak to be heard; speak to provide tangible solutions. Leaders are always thinking about innovative ways to drive forward positive business outcomes, and it's your responsibility in these meetings to think of creative solutions to the challenges your team is facing. Even if you don't have the complete solution yet, make some recommendations with a "What if we tried XYZ approach?" This engages other team members and shows that you are confident with sharing your ideas, while simultaneously ensuring everyone is included and feels heard—a mark of a true leader. ... One of the most difficult and embarrassing situations any professional could be placed in is to acknowledge when they've made a mistake or accidentally jeopardized the success of the team project. But it's the bravest thing to do, and it's an essential quality of a rising leader to take ownership for your mistakes. Refuse to cast blame on others or talk behind your colleagues' back, because this can destroy trust. Instead seek ways to rectify the situation and actively discuss solutions.
In an era of increasing digital transactions, customer due diligence (CDD) demands robust identity verification processes. AI brings biometric data, document analysis, and identity validation methods to the forefront, enhancing the accuracy and speed of customer due diligence. OCR, face match, liveness detection, match logic, and digital address verification facilitate contactless KYC and paperless onboarding. These technologies not only streamline onboarding processes but also contribute to a more secure and fraud-resistant financial ecosystem. Staying compliant with an ever-changing regulatory landscape is a perpetual challenge for financial institutions. AI provides a dynamic solution by automating the monitoring and adaptation to regulatory changes. Leveraging data analytics to best utilise and parse alternate data sources, such as utility bills, financial account data, etc., can help further track customer behaviour while empowering the team to identify discrepancies and stay compliant. From anti-money laundering (AML) to know-your-customer (KYC) tech, AI ensures that due diligence processes remain effective and consistently aligned with the latest regulatory standards.?
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The problem is that very few people are interested in learning COBOL these days. Coding it is cumbersome, it reads like an English lesson (too much typing), the coding format is meticulous and inflexible, and it takes far longer to compile than its competitors. And since nobody's learning it anymore, programmers who can work with and maintain all that code are a increasingly hard to find. Many of these "COBOL cowboys" are aging out of the workforce, and replacements are in short supply. ... If it proves successful, the watsonx code assistant could have huge implications for the future, but not everyone is convinced it's a silver bullet that IBM says it is. Many who remember IBM’s previous AI experiment, Watson Health, are hesitant to trust another big AI project from the company because the previous one failed so miserably and didn't deliver on its high-flying promises. Gartner Distinguished Vice President and Analyst, Arun Chandrasekara is also skeptical because “IBM has no case studies, at this time, to validate its claims,” he says.?
As Hightower put it, “You get to move as fast as you’re willing to believe that you can. You identify a problem and you execute it.” Aim to be agile in mindset and practice as long as you can, both with your organization and with your own career. Nothing is precious. Always look for opportunities to learn. If you get stuck with one language or framework, it limits where you can move and also your ability to change. It may even have you wasting time rebuilding things in your framework of choice — like Hightower acknowledged he used to do with Python. ... IT is a massive cost center that often demands an explanation from an organization’s budget makers, especially with a recession looming. An underappreciated benefit of platform engineering, for instance, is that it can enable a conversation between the tech side and the business side. Developers and engineers benefit from this conversation. They feel a deeper sense of purpose when their work is more closely connected to business goals. That means, especially in a time of increased automation, storytelling is of great value. To act as a translator and context giver can help boost an engineer’s value.
Cloud-native security architectures like SASE and SSE can offer the east-west protection typically delivered by a data center firewall by rerouting all internal traffic through the closest point of presence (PoP). Unlike a local firewall that comes with its own configuration and management constraints, firewall policies configured in the SSE PoP can be managed via the platform’s centralized management console. ... As security functions move increasingly to the cloud, it’s crucial not to lose sight of the controls and security measures needed on-site. Cloud-native protections aim to increase coverage while reducing complexities and boosting convergence. As critical as it is to enable east-west traffic protection within SASE and SSE architectures, it’s equally important to maintain the unified visibility, control, and management offered by such platforms. To achieve this, organizations must avoid getting carried away by emerging threats and adding back disparate security solutions.