In an ever-evolving technology landscape, the transformative potential of AI extends beyond innovation to cybersecurity. As we enter 2024, industry leaders believe that AI-powered cybersecurity will play a key role in threat detection and response, that userization and AI will transform user experience and efficiency across applications, and that XaaS will transform digital services. , highlighting the emergence of generative AI as a critical component. Enterprise software solutions. Collective insights from these leading technology companies provide a comprehensive view of the challenges and opportunities ahead.
cloud strike
Elia Zaitsev, CTO, CrowdStrike
CISOs and CIOs are turning to platforms to drive best security and IT outcomes. CISOs and CIOs are being asked to do more with less, and in 2024 organizations will look beyond traditional point solutions to platforms that break down operational silos and reduce complexity and cost. We will see an industry-wide shift towards Increased collaboration between CISOs and CIOs is driving the need for a platform that is a solution to both problems: an AI-native platform that stops breaches and provides CIOs with a cost-effective single point of control. .
AI blind spots open the door to new enterprise risks. CrowdStrike highlights AI systems as the latest threat vector for attackers to target organizations in 2024 through vulnerabilities in sanctioned AI deployments and blind spots from unauthorized use of AI tools by employees I expect it to move.
After a year of explosive growth in AI use cases and deployments, security teams are still in the early stages of understanding threat models around AI deployments and tracking unauthorized AI tools introduced into their environments by employees. there is. These blind spots and new technologies open the door for attackers looking to penetrate corporate networks and access sensitive data.
Importantly, companies will be forced to address new data protection risks as employees use AI tools without the supervision of security teams. Corporate data entered into AI tools is not only at risk for threat actors to exploit vulnerabilities in these tools to extract the data, but also for data to be compromised as part of the system’s training protocols. They are also at risk of being shared with unauthorized parties.
In 2024, organizations will look internally to understand where AI is already deployed in the organization (through formal and informal channels), assess risk posture, and minimize risk in a secure and auditable manner. This is the year we need to strategically develop guidelines to ensure safe use. Maximize enterprise risk and expense, but maximize value.
Moreover, adversaries will see cloud-based AI resources as a lucrative opportunity. Many believe that AI will be a top trend in corporate investment over the next few years, but recent study We found that 47% of cybersecurity professionals admit to having minimal or no technical knowledge of AI. Additionally, AI creates new security challenges because AI systems need access to large datasets that are often stored in the cloud. Securing this data and ensuring that AI models running in the cloud are not misused for malicious purposes is an increasing concern, and by 2024, comprehensive Cloud Native Application Protection Platforms (CNAPP) will be more important than ever.
Equinix India
Manoj Paul, Managing Director, Equinix India
As 2024 approaches, the global transition towards a digital-first future intensifies, with digital infrastructure emerging as the foundation for businesses to gain a competitive edge in the ever-expanding digital economy. This evolution brings several innovations and digital trends that promise to reshape the data center and digital services landscape and foster a sustainable and interconnected environment.
The delicate balance between maximizing the value of AI and protecting sensitive data is driving the exploration of private AI, an environment tailored specifically for organizational use. This innovative approach allows businesses to harmonize the execution of their AI strategies while maintaining control of their valuable data, resulting in significant advancements in the digital realm. The increasing adoption of cloud computing by enterprises and the focus on edge computing and AI to process and analyze data closer to the source also requires a flexible, hybrid approach to digital infrastructure.
With the AI revolution, Everything as a Service (XaaS) accelerates the implementation of digital services. This on-demand model allows businesses to seamlessly integrate new digital capabilities at software speed and scale up or down based on business needs. Equinix promotes its XaaS through Platform Equinix®, enabling users to interconnect and adopt new technologies for competitive advantage.
Another trend revolutionizing data centers is liquid cooling. This is in response to the growing adoption of AI and high performance computing (HPC) applications. Liquid cooling exceeds air efficiency, allowing for increased rack density and improved cooling performance. Equinix expands support for advanced liquid cooling technologies, including direct-to-chip, to more than 100 International Business Exchange® (IBX®) data centers in more than 45 cities, including Mumbai and Chennai.
Cloud-adjacent storage emerges as a solution to evolving data storage challenges. The expansion of public clouds, accelerated adoption of AI, and the need to derive meaningful insights from data are all putting pressure on organizations to optimize the placement, control, and security of their most valuable asset: their data. At Equinix, we offer cloud-adjacent storage services with partners like NetApp and Pure Storage to help you maintain control of your data, optimize costs, and deliver high performance for your most demanding workloads.
watts fix
Vara Kumar Namburu, Whatfix Co-Founder and CTO
AI has been around for a while. The emergence of Gen-AI has brought it into focus and shown the world its potential to open up the next decade of innovation. Gartner predicts that by 2026, 80% of enterprises will have generative AI-enabled applications. Currently, we’ve only scratched the surface by providing the ability to read documentation and provide an overview. When Gen-AI is in full bloom, productivity increases everywhere. of business. To achieve all of this, we need to bring the quality of generated AI to production levels, reduce costs, and improve performance.
With employee experience (EX) added to the CIO charter along with CX, HR technology is waiting for a revolution. DX tools, such as Digital Adoption Platforms (DAPs), intuitively guide the flow of work and facilitate changes in the way employees interact with digital tools. Merging the innovation concepts of AI and userization, making technology savvy for users and reducing the burden on employees to become technology savvy, will lead to a broader shift in technology from cohort to individual user needs. This is the key to responding.
All innovation still requires analytics to improve products, EX, and CX by deciphering unique user behavior and feedback and providing strategic insights for informed decision-making. Embracing these technological changes requires addressing the human side, with a focus on upskilling to survive the digital age. From a security perspective, 2024 will require careful countermeasures against evolving cyber threats, with AI-powered detection and strict data privacy practices at the forefront.
Whatfix combines userization and AI to revolutionize user experience and efficiency across applications. Our man-in-the-middle approach ensures that AI complements and does not compete with humans, giving enterprises and IT leaders greater control. In 2024, AI and the workforce will continue to strengthen their dynamic partnership, embodying the potential for responsible and inclusive technology integration, and envisioning a future where humans and intelligent machines coexist and thrive.
medi buddy
Enbasekar D, MediBuddy Co-Founder and CTO
2023 saw the big introduction of LLM, and 2024 is expected to see the use of advanced AI, generative AI, and LLM become even more prevalent across the technology industry. Multiple startups entering this space are rethinking the user experience, allowing other companies to adopt his LLM and build custom, fine-tuned models, and even localization and multilingual models. You are expected to do so.
Advanced AI and machine learning models are also poised to transform healthcare delivery through predictive, preventive, and personalized care applications. The adoption of such technology will gain greater acceptance among clinical professionals and physicians as an essential support tool in clinical practice. This, combined with ABHA Health ID, predictive monitoring, and preventive diagnostics, allows users to proactively track their health.
Ascendion
Mijitha Muralidharan, Ascendion Engineering Services Associate Director
2024 will see strategic changes in the world of technology, with generative AI emerging as a key component within enterprise software solutions, collaboratively shaping digital products and services, and leading to major advances in software development methodologies. Probably.
- The rise of the industrial metaverse represents a paradigm shift beyond traditional digital twinning. It is poised to evolve beyond the limitations of replicating machines and manufacturing plants into a robust 3D platform. The platform extends its usefulness across the entire organization, value chain and product lifecycle, serving as a comprehensive digital reflection of the organization in its operational context.
- Intelligent automation is set to redefine the automation landscape in 2024. Combining RPA’s task and rule-based automation with cutting-edge AI technologies such as machine learning, natural language processing (NLP), and computer vision enables seamless automation of: Complex decision-based business processes. This trend fosters comprehensive automation solutions through user-friendly low-code or no-code applications.
- Looking ahead, sustainable technologies will naturally take center stage as organizations invest more in technologies that drive environmental, social and governance (ESG) outcomes. This strategic focus reflects our commitment to responsible business practices and aligns with the evolving expectations of our stakeholders.
Emerging technologies are transforming business strategies and driving a new era of agility, efficiency, and innovation. Businesses will streamline operations, use data for decision-making, and create personalized customer experiences. The integration of AI, Metaverse platforms, intelligent automation, and sustainable technologies will emphasize adaptability and sustainability and redefine business models. This comprehensive approach improves the consumer experience through generative AI, advanced data, and analytics, optimizes efficiency, minimizes errors, and improves strategy through sophisticated tools such as predictive analytics and large-scale language models. Our focus is on enabling customers to leverage the power of their products to strengthen their competitiveness in a dynamic global landscape. (LLM).
Advanced algorithms and predictive analytics enable organizations to proactively anticipate and respond to threats, strengthen security protocols, and improve defenses against emerging risks. AI-powered cybersecurity helps detect and respond to threats and provides a robust defense against AI threats. Machine learning algorithms analyze huge datasets in real time to identify anomalies and security breaches. AI-driven threat detection systems are better at recognizing behavioral patterns that human analysts often miss. This proactive cybersecurity approach significantly reduces response times and reduces the impact of AI attacks. Transformation possibilities range from strengthening your enterprise with automated configuration enhancements, addressing micro-segmentation challenges, improving least privilege access, and improving reporting.