AI advancements, like ChatGPT’s multimodal features, raise concern over job security for lower end programming tasks, but experts argue that AI can’t replace the multitude of skills required in software development. Despite automating mundane tasks, AI can open opportunities for migration of outdated systems and create new jobs. It’s crucial for developers to adapt by mastering AI tools and focusing on problem-solving abilities along with real-world application understanding.
Cloud computing has transformed enterprise IT deployment and management, offering agility, flexibility, and real-time access to resources regardless of location or device. However, its wider adoption increases potential security threats with a growing attack surface. Therefore, companies need to adopt a holistic approach, implementing robust, uniform security measures across all aspects of their infrastructure.
Implementing a data strategy within an organization begins by establishing data ownership and increasing data literacy among employees. Some challenges to this are retrofitting data strategies, auditing existing data, and committing leadership. CIOs and data leaders should prioritize use cases that contribute to corporate value and deliver continuous value. While overcoming technology issues helps execute a data strategy, business alignment must be achieved first to ensure lasting impact.
Gartner Inc. unveiled its top 10 strategic technology trends for 2024 at the IT Symposium/Xpo in Orlando, emphasizing the need for IT leaders to grapple with rapidly advancing technology. The trends include democratized generative AI, AI trust, risk and security management, AI-augmented development, intelligent applications, augmented-connected workforce, continuous threat exposure management, machine customers, sustainable technology, platform engineering, and industry cloud platforms. The company highlighted the challenges and opportunities these trends present in the context of an increasingly digitized world.
Application monitoring, crucial for efficient system performance, availability, and end-user experience, is seeing a shift from traditional application performance monitoring tools towards observability. Different types of application monitoring include digital experience, database, availability, performance, resource, and security monitoring. Choosing a well-integrated, scalable, automated, and full-stack observability-centric application performance monitoring solution is key. Best practices include clear goal-setting, focusing on relevant metrics, setting up customized alerts, ensuring security and compliance, and leveraging automation.
Data visualization involves creating graphical elements to understand data trends and patterns. Experts recommend understanding the audience’s needs, asking for early design feedback, and ensuring data accuracy for effective visualization. While tools like Tableau can aid design, over-complication and rushing to deliver data without comprehending use cases are common pitfalls. Data visualization should be purposeful, targeted, and easy to comprehend.
Quantum computers pose significant security risks, not a matter of if, but when according to Deloitte’s Colin Soutar and NTT Research CEO Kazuhiro Gomi. Traditional encryption could be broken by quantum computers, exposing sensitive information. With “Q-day” (quantum computer cyber-attack day) potentially 5-10 years away, preemptive measures are necessary. Strategies include transitioning to quantum-safe encryption, building quantum-resistant security, enterprise-wide quantum risk assessments, deploying Quantum Random Number Generator tech for encryption keys, and preparing for Post Quantum Cryptography.
It’s no secret that artificial intelligence and cloud computing have revolutionized technology. Now, these two profound forces are joining together to reshape businesses and, ultimately,
Corporations have a complex relationship with government and can potentially benefit from divergent goals within different branches of government. A study exploring Taiwanese corporate reforms highlighted that firms with more administrative ties were more likely to follow governmental corporate governance reforms, whereas firms tied more to lawmakers were less inclined to conform. The study suggests a more nuanced political strategy to navigate these dynamics, understanding key concerns of officials and departments and firms’ own dependency on government resources.
Industry 4.0’s digitization of manufacturing with advanced analytics, robotics, and AI is revolutionizing global business. A group organized by DXC Leading Edge in 2022 identified the key challenges facing the manufacturing industry as supply chain issues, the need for a management doctrine, and sustainability metrics. They highlighted Tesla’s fast and effective implementation of agile methodologies, but warned that such practices aren’t suitable for all contexts. Supply chain visibility and accurate sustainability metrics were identified as crucial to the industry’s future. The research also noted a shift towards people-focused solutions over technology.
API Penetration testing, also known as pen testing, is a simulated cyber-attack that validates your software application for vulnerable threats.
Blockchain is a secure and decentralized digital ledger that records transactions across multiple computers, ensuring transparency and preventing tampering. Blockchain uses encryption techniques to create private, secure communication channels between IoT devices that safeguard
With analytics now underpinning key workflows for users across roles and industries, this failure to deliver intuitive, empowering analytics represents a gap that forward-thinking SaaS companies could fill by making analytics capabilities central to their products. The companies that will win are those
The potential AI applications for financial institutions are almost endless, from consumer-facing financial literacy assistance to back-of-house risk mitigation algorithms, and the industry is figuring out the best use for this technology. “Whether it’s applying machine learning to strengthen the accuracy of which
