Enterprise

  • Enterprise

    How AI Can Help Leaders Make Better Decisions Under Pressure

    Harvard Business Review, 10/26/23. In today’s fast-paced business world, leaders and managers are under immense pressure to make critical decisions. Research has shown that decision stress is a common experience for business leaders, with the volume of decisions increasing significantly in recent years. To address this challenge, many organizations are turning to AI-powered technologies to enhance decision-making capabilities. These technologies, such as virtual assistants and data analytics platforms, can help bridge the data-insight gap and provide valuable insights in time-critical situations. However, there are also challenges and risks associated with using AI decision-making technologies. Business leaders must carefully consider the contexts in which these technologies are likely to be beneficial and develop strategies to mitigate potential risks. By effectively harnessing the power of AI, business leaders can make more informed decisions while navigating the complexities of the digital age. READ THE ARTICLE

  • Enterprise

    Run Generative AI on-premises, with a cloud experience

    CIO, 10/26/23. When deciding whether to run generative AI applications in the public cloud or on-premises, IT leaders must carefully consider their specific business needs. While the public cloud offers agility and innovation acceleration, there are certain factors that may favor an on-premises approach. Data security, regulatory requirements, and control over the technology are key considerations. On-premises deployment allows for greater control over data and access, reducing the risk of data breaches and addressing concerns about “shadow AI.” Additionally, real-time interactions may require minimizing latency, and cost control is often easier on-premises. Ultimately, a hybrid approach may provide the best of both worlds by combining the flexibility of the public cloud with the security and control of an on-premises solution. Dell APEX Cloud Platforms offer a unified cloud experience, enabling optimal deployment of GenAI apps and supporting digital transformation efforts. READ THE ARTICLE

  • Enterprise

    Generative AI Unleashed: Charting The Enterprise Future

    Forbes, 10/07/23. Generative AI is revolutionizing industries and presenting both opportunities and risks. As leaders, it is crucial to understand the potential and challenges of this technology. Generative AI models can produce high-quality content based on prompts, such as text or visuals. The progress in this field has been remarkable, with large language models like GPT-4 enabling human-like text generation. Real-world use cases in various sectors, including life sciences, oil and gas, and healthcare, are delivering tangible business value. However, there are risks to consider, such as integration complexity, legal and compliance issues, model flaws, and workforce disruption. To navigate this transformative era successfully, managing human capital, adopting responsible practices, and following a strategic roadmap are essential. By embracing generative AI responsibly, businesses can thrive while upholding human values. READ THE ARTICLE

  • Enterprise

    AI Nightmares: 5 Risks that Keep Business Leaders Up at Night and What You Can Do About It

    Fisher & Phillips, 10/06/23. Business leaders today face new risks and challenges brought about by the adoption of artificial intelligence (AI) technology. These risks include the potential for disruption to business models and workforce strategies, privacy and cybersecurity issues, reputational risks, legal risks, and operational challenges. To stay ahead of the curve, business leaders must ensure their workforce is prepared for the AI revolution, create safeguards to protect data privacy and cybersecurity, understand the implications and limitations of AI, comply with evolving laws and regulations, and evaluate how AI can be integrated into operations. Flexibility, learning, and adaptability are essential in navigating the AI landscape. READ THE ARTICLE

  • Enterprise

    Driving companywide efficiencies with AI

    MIT Technology Review, 10/05/23. AI has come a long way from being a complex and costly technology accessible only to large companies. The development of user-friendly generative AI tools has allowed businesses of all sizes to experiment with AI and witness its benefits. This growing popularity is evident in the doubling of AI adoption, with 50% of organizations now incorporating AI in their operations. In challenging economic times, companies are seeking to optimize resources and do more with less, making AI and ML solutions invaluable in automating and optimizing back-office tasks and processes. From chatbots improving customer service to ML identifying fraud, AI is transforming industries across the board. READ THE ARTICLE