In 2025, the demand for AI engineers has surged, with critical skills in machine learning, data engineering, and cybersecurity at the forefront. As AI becomes integral across industries, professionals must blend technical expertise with soft skills and ethical awareness to thrive in this rapidly evolving landscape.
In a recent podcast, Prime Minister Modi emphasized India’s commitment to peace, addressing issues like Pakistan’s turmoil and the Russia-Ukraine conflict. He highlighted the importance of dialogue in India-China relations and shared insights on his governance model, rooted in trust and public service, ahead of the 2024 General elections.
In the evolving landscape of digital security, Google’s shift from SMS to QR codes for two-factor authentication marks a significant change. As AI threats rise, understanding and adapting to new security measures, like passkeys, becomes crucial for protecting our online accounts and personal information. The future of security is now.
Kaito AI recently faced a significant cybersecurity challenge when its social media accounts were hacked, leading to fraudulent activities. The attackers spread false claims about compromised wallets, aiming to incite panic and manipulate the market. This incident highlights the urgent need for enhanced security measures in the cryptocurrency sector.
In the second installment of our series on AI-ready infrastructure, we explore the critical role of network infrastructure in AI deployment. As mid-sized businesses adopt AI, understanding the demands on network bandwidth, latency, and security is essential for successful implementation and competitive advantage in today’s landscape.
The introduction of OpenAI’s GPT-4 has sparked both excitement and concern in the cybersecurity sector. While it offers opportunities to enhance security measures, it also poses risks, such as facilitating sophisticated phishing attacks. Companies must remain vigilant and develop advanced detection tools to counter these emerging threats.
AI adoption has surged to 72% among organizations, marking a shift from experimentation to essential implementation. Surprisingly, less-educated regions are embracing AI tools faster, suggesting a potential equalizing effect. However, a significant skills gap persists, with only 12% of IT professionals able to create effective AI prompts.
Artificial Intelligence has transformed from a theoretical concept into a vital force reshaping industries and daily life. With 72% of organizations now utilizing AI, its evolution marks a significant technological shift. Understanding AI’s history, current trends, and future implications is essential for individuals and businesses alike.
SentinelOne’s focus on AI-driven cybersecurity is not yet translating into significant revenue growth, despite a 27% increase in Q4 revenue guidance. Competitive pricing pressures and gradual customer adoption are key challenges. However, ongoing innovation and strategic partnerships position the company for long-term success in the cybersecurity market.
Wall Street faces a new threat as cybercriminals leverage artificial intelligence (AI) to target banks and their customers. A recent survey reveals that 80% of bank cybersecurity experts believe generative AI empowers hackers faster than banks can respond, highlighting the urgent need for enhanced cybersecurity measures in the financial sector.
