In the rapidly evolving landscape of AI development, its ethical dimensions have become a concern. AI ethicist Enrico Panai emphasizes that the conscientious development and implementation of AI do not hinder speed and innovation; rather, they serve as a catalyst for progress.
The business world has apprehensions about the accuracy of outcomes produced by generative AI models. There are strong concerns about data privacy, AI hallucinations and bias. Does OpenAI's enterprise edition of ChatGPT address these challenges?
Artificial intelligence, with its varied use cases, is sure to enhance business processes across domains, but measuring its impact on existing job roles is tricky. There is no contest that human oversight is necessary to prevent AI inaccuracies, but fears of job loss are overblown.
In a future pointing toward growing synergy between generative AI and analytics, LLMs play a crucial role in facilitating natural language queries. By adding a contextual layer, it makes data more accessible and its interpretation straightforward, significantly improving the quality of analytics.
Traffic prediction is critical to plan effective traffic management strategies during evacuations. But accurate prediction of evacuation is challenging. AI-powered traffic lights using sophisticated algorithms can analyze real-time data and traffic patterns to reliably predict evacuation demand.
For embracing AI models, organizations need to define use cases, prepare data, assess technology readiness, develop and validate models, and plan for ethical and legal considerations. Data security and privacy must also be addressed.
U.K.-based Exscientia, a leading drug discovery firm, has successfully advanced six molecules created with the help of generative AI into Phase 1 clinical trials. CEO and founder Andrew Hopkins envisions a future where AI plays a vital role in the design of all new therapies.
Both kinetic and non-kinetic warfare techniques have necessitated the use of advanced, modern technology to counter the enemies. Veda Defense is taking on the task of bolstering defense readiness by implementing an essential asymmetric doctrine by deploying artificial intelligence.
Global automotive leader Mahindra & Mahindra has taken lead in implementing generative AI's large learning models across both factory shop floors and customer-facing chatbots. Bhuwan Lodha, SVP and head of digital at M&M auto sector, emphasizes the need for enterprises to secure favorable ROI while embracing gen AI at...
Jose Soares, director IT, The Capital Hotels and Apartments in South Africa, discusses how the luxury hotel embraced change with digital transformation, cloud integration and unique customer experiences. He offers insights on platform building, cloud adoption and generative AI innovation.
A report on the status of cybersecurity in the healthcare industry indicates that cyberattacks are declining or remaining flat. Cyber attackers were still targeting medical services, hospitals and clinics, medical device manufacturers and pharmaceutical firms in Q2 2023.
Post-digital governments are rapidly evolving their data and analytics investments to generate critical insights for core mission needs. As global, economic and environmental instability increases, 'simple' extrapolation from past experiences is no longer sufficient to address government challenges.
Usage-based insurance resonates with the industry's growing trust in data-driven risk evaluation and pricing. CerebrumX’s co-founder and COO, Sumit Chauhan delves into the economic benefits for customers and competitive advantage for insurers by enabling personalization, safety, and cost-effectiveness.
Dr. Sylvia Sathekge and Michael Nteere from Africa delve into the journey of CIOs, from mastering technology intricacies to strategic alignment. They also discuss CIO challenges, cybersecurity's role in digital transformation and the AI-driven IT future
In Part 2 of this post, we walk through how to apply the 7 Rules to build team commitment to tackle this overlooked challenge. Our analysis is illustrated by a current real-life conundrum that could lead to personal regulatory liability.
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