We hear from various technology professionals about their predictions for 2024, ranging from additional advancements in AI to cybersecurity and quantum computing.
A strong convergence of disruptive factors will transform the commercial landscape of 2024 as the year draws to a close. The creative potential and problem-solving skills of generative AI will reveal untapped efficiency. Sustainability will become a strategic requirement rather than just a slogan, especially when developing AI models. Furthermore, the once-science fantasy concept of quantum computing will unleash hitherto unthinkable possibilities aligned with the advancements in the world of White Label Crypto Cards.
Leading IT company executives are interviewed by Technology Magazine to learn more about the key themes to watch in 2024.
AI will become the main focus and transition from theory to reality.
According to John Roese, Global Chief Technology Officer at Dell Technologies, the conversation around GenAI will transition from theory to reality, with changes in the cost and infrastructure of training to inference and operation costs.
Although many brilliant ideas exist about how GenAI can change business and society, few large-scale, practical GenAI initiatives exist. The speaker predicted that the first wave of GenAI enterprise initiatives will mature by 2024, revealing significant aspects of the technology that were not previously known in its early stages.
Hamid Imtiaz, the CTO of Remo Software, emphasizes that AI innovation will continue to revolutionize industries, shifting from theoretical concepts to practical applications. He highlights how automation of routine tasks, enriched customer service and solutions, and improved industrial output and quality will be prominent areas of development. Hamid predicts that AI will optimize supply chains, amplify financial services through enhanced data analysis capabilities, and bolster data security with predictive and protective measures. Additionally, he notes that various sectors across industries will undergo transformation through continuous learning, optimization, and adaptation spurred by AI advancements.
Teams from IT and security are coming together.
Zeki Turedi, CTO of Europe at CrowdStrike, believes there will be a chance to improve organizational resilience by merging IT and security teams within busin
esses as new threats surface in 2024, blurring the barriers between IT and security roles.
Having previously worked in discrete units, these groups are witnessing a growing convergence of their goals and day-to-day activities. This change is brought about by the quick development of technology and the shifting nature of security threats that immediately affect IT infrastructure.
This convergence is especially needed and timely because single attacks target security and infrastructure simultaneously, necessitating a coordinated response.
Through increased cooperation and the sharing of tools and platforms, these hitherto dispersed teams can pool their knowledge to strengthen defenses against more complex cyberattacks. This tendency is demonstrated by the emergence of new cybersecurity solutions designed with IT teams in mind. By offering real-time information and automated reactions to security issues, these platforms are made to seamlessly interact with IT processes, speeding up response times and improving overall security posture.
Hyperscalers will fuel a potent, instantaneous ecosystem.
Generative AI has frequently come under fire for using historical data to produce outcomes vital to the aim. However, according to Rodrigo Liang, CEO of SambaNova Systems, the partnership between hyperscalers and AI models will completely transform the data analytics market by matching real-time fine-tuning with current data, resulting in major gains in speed, accuracy, and cost.
He predicts that real-time fine-tuning will become more prevalent. This will enable models to comprehend and adjust to changing data, advancing the use of AI in applications across all sectors of the economy. “The development of a very large Composition of Expert models to address even more complex use cases than what we’ve even come close to seeing today in industries like marketing, advertising, healthcare, banking, and more will be made possible by the combination of advanced chips and hyper-scale data capabilities, creating a powerful ecosystem.”
A renewed emphasis on models of zero trust
People use more devices, apps, and services than ever in today’s hybrid work environment, many of which are hosted in the cloud on systems physically independent of corporate IT. This new environment calls for a zero-trust framework.
According to Chris Peake, CISO and SVP of Security at Smartsheet, organizations will add more layers to their models in the upcoming year.
According to him, some organizations might implement role-based security, which enables them to designate responsibilities for various user types and control access by those roles. By doing this, they will be able to safeguard private data while lowering barriers to entry for authorized users. Additionally, organizations can add time-based access, which enables them to control user access to information according to the project duration they are working on.
More than ever, IT spending will be driven by business results.
Linda Yao, Chief Operating Officer and Head of Strategy at Lenovo Solutions & Services Group, forecasts that businesses will focus on getting more value from their IT spending in a few areas due to a developing macroeconomic and competitive landscape.
She said, “The first is that they will demand more operational flexibility, whereby their investments scale in proportion to the value they return.” “Whether that means utilizing technology to stabilize revenue growth or to achieve cost savings, or implementing that technology in a way that allows for predictable cash flow payments, they will want more predictability in their cash flows.” Additionally, companies will ensure that IT deployment directly supports or promotes business results. More businesses will utilize IT for their desired business objectives, be they top line, bottom line, or meet particular customer experience, sustainability, throughput, customer acquisition, or other metrics. Rather than implementing and maintaining technology in a vacuum, more companies will link their adoption of this technology to these KPIs.
As a result, as clients modernize or completely redesign their IT stacks in the next five to ten years, IT spending on old infrastructure will change to spending on next-generation technology and increase quickly. This entails swapping out standard software licenses for highly customized tech on demand, embracing more virtualized and networked IT environments, and switching from legacy IT systems to hybrid cloud.
In a nutshell:
In conclusion, 2024 will see the conversion of technological trends into observable reality. As GenAI transitions from theory to practice, enterprise initiatives will be shaped by it. The integration of the security and IT departments will improve organizational resilience. Data analytics will be revolutionized through hyperscalers working with AI models. A renewed focus on the zero-trust framework and a business-driven approach to IT spending will mark this changing environment.
