ENTERPRISE 5.0 | Q2 2024
The BGV Beat
KEY TRENDS
Enterprise Adoption Has Arrived
8 Charts on Adoption of AI
The trends of control, multi-modal, cloud, open-source, and internal employee use cases are shaping enterprise generative AI adoption in 2024.
The Role of CISO in the age of aI
CISOs are harnessing AI’s capabilities to fortify defenses and mitigate risks in real-time as they navigate the intricate balance between innovation and protection in an ever-evolving cyber ecosystem.
DEEPER INSIGHTS
Innovation Drivers
Introducing the Autonomous Enterprise
Why SLM's are the Next Big Thing
SLMs could revolutionize AI development and deployment, offering faster, more secure, and more efficient solutions that democratize access to AI technology.
Financing Events
Greenly proudly announces its successful $52 million Series B funding round. This milestone accelerates Greenly’s mission to cement environmental accountability as a fundamental aspect of business practices worldwide. The participation of Benhamou Global Ventures (BGV), reflects a strong vote of confidence in reshaping corporate carbon responsibility.
FirstHive, the leading provider of customer data platform (CDP) solutions, has announced the closing of its latest funding round with Benhamou Global Ventures (BGV), Saama and Amit Singal as new lead investors. This round marks a new chapter for FirstHive as it expands in the U.S. and aims to revolutionize customer engagement for enterprises worldwide.
Cynamics, the only Software-as-a-service (SaaS) network detection and response (NDR) company, closed a $45M fundraising round. They are the only Cloud-Based network detection and response solution that uses standard sampling
protocols that built in to every gateway, providing organizations with an advanced technology capabilities, with minimal burden on their resources.
Perspectives - Challenges in Enterprise AI Adoption
Barriers to Gen AI Adoption
Despite significant interest, actual adoption rates of Gen AI technologies in enterprises are low due to difficulties in securing tangible ROI, high AI infrastructure costs, poor data quality leading to inaccurate outputs, and complex IT systems that hinder integration.
Data Quantity and Quality
Data fuels AI models. The right quantity and quality of data are essential for building, training, and deploying AI algorithms. Managing these critical data attributes involves both systemic and technical challenges.
LLM AI Cybersecurity Checklist
As the digital landscape evolves, the rise of Gen AI applications, particularly Large Language Models (LLMs), presents both unprecedented opportunities and unique challenges for organizations worldwide.
LLMs Will Never Reach Human-level Intelligence
AI must overcome challenges in reasoning, planning, memory, and understanding the physical world to reach human-level intelligence. LeCun criticizes LLMs for their reliance on text, advocating for “objective-driven AI.”
Spotlight
The Global Race to Regulate AI
A global realignment is taking shape in political capitals and innovation hubs around the world, in the wake of AI’s rapid development. Our distinguished speakers, drawn from the forefront of AI policy, law, and research, will explore the potential of different countries to influence the AI policy landscape, and will dissect the major roles and the real-world implications of their work. The aim is to uncover how these global powerhouses are positioning themselves in the global effort to regulate AI, and what this means for the world. The event will be a must-attend for anyone interested in the complex, rapidly evolving world of AI governance.