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Aligning ESG and technological innovation At the core of this transformation is the CIO, a pivotal player whose role has expanded beyond managing technological innovation to overseeing how these innovations contribute to ESG goals. It provides CIOs a roadmap to align these technologies with their organizations’ ESG goals.
The Middle East is rapidly evolving into a global hub for technological innovation, with 2025 set to be a pivotal year in the regions digital landscape. AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance.
With more than 10,000 attendees expected, Dubai AI Week will unite public and private sector leaders, innovators, and experts to explore AIs potential across industries. A key event within the week will be the AI Retreat, designed to bring together decision-makers and tech leaders to discuss integration strategies for AI.
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In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.
AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. Over the next 12 months, IT leaders can look forward to even more innovations, as well as some serious challenges. As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago.
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Respondents represent 12 industries, among them banking, investment and insurance, manufacturing, automotive, retail, healthcare and the public sector. The need for responsible innovation is paramount, as is balancing GenAI ambitions with an organisation’s sustainability goals.
In 2020, it was the pandemic, 2022 brought recession fears, and 2024 ushered in the generativeAI era. Two years ago, I shared how gen AI impacts digital transformation priorities , focusing on data strategies, customer support initiatives, and AI governance.
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Respondents represent 12 industries, among them banking, investment and insurance, manufacturing, automotive, retail, healthcare and the public sector. The need for responsible innovation is paramount, as is balancing GenAI ambitions with an organisations sustainability goals.
Over the past year, generativeAI – artificial intelligence that creates text, audio, and images – has moved from the “interesting concept” stage to the deployment stage for retail, healthcare, finance, and other industries. On today’s most significant ethical challenges with generativeAI deployments….
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“The critical element lies in automating these steps, enabling rapid, self-learning iterations that propel continued improvement and innovation.” Most AI hype has focused on large language models (LLMs). However, research demonstrates that more executives, like Schumacher, recognize the connection between AI and business innovation.
The launch of ChatGPT in November 2022 set off a generativeAI gold rush, with companies scrambling to adopt the technology and demonstrate innovation. They have a couple of use cases that they’re pushing heavily on, but they are building up this portfolio of traditional machine learning and ‘predictive’ AI use cases as well.”
GenerativeAI is rapidly reshaping industries worldwide, empowering businesses to deliver exceptional customer experiences, streamline processes, and push innovation at an unprecedented scale. Specifically, we discuss Data Replys red teaming solution, a comprehensive blueprint to enhance AI safety and responsible AI practices.
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Thats 100% accurate, says Patrick Buell, chief innovation officer at Hakkoda, an IBM company. Richer adds: For enterprise applications where accuracy and reliability are paramount, this inherent risk makes relying solely on a general LLM a non-starter in many cases. Cant run the risk of a hallucination in a healthcare use case.
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AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generativeAI and ethical regulation. Investments in healthcare technologies will grow, driven by national health strategies and pandemic-driven innovation.
Thats according to the fourth quarterly edition of Deloitte AI Institutes State of GenerativeAI in the Enterprise report released on Tuesday. Were seeing more of a focus on the pragmatic, says Jim Rowan, applied AI leader and principal at Deloitte Consulting.
AI/ML usage surged exponentially: AI/ML transactions in the Zscaler cloud increased 36x (+3,464.6%) year-over-year, highlighting the explosive growth of enterprise AI adoption. Zscaler Figure 1: Top AI applications by transaction volume 2. Enterprises blocked a large proportion of AI transactions: 59.9%
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Thats why Dell Technologies aims to bring the AI factory to life for organizations of all sizes via the Dell AI Factory with NVIDIA. Extend patient care with powerful AI research : Essen University Hospital wants to expand its use of generativeAI (GenAI) to enhance its healthcare delivery.
Separate from the hardware and data provisioning to manage and operate AI, leading sectors included autonomous driving, healthcare, robotics, professional services, and marketing and sales, Crunchbase data shows. And so, were seeing this innovation fully impact productivity in the tech sector.
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GenerativeAI (Gen AI) is transforming the way organizations interact with data and develop high-quality software. Here we concentrate on the uses in data management, its controls and effects on efficiency innovation and cost savings. Improved innovation as high-quality data for better product development.
Built on healthcare-specific LLMs and NLP models, we can help organizations unlock these outcomes within their own environment, trained on their data, all while seamlessly integrated into their existing workflows. For years, innovation in Medicare Advantage has been held back by tight margins and operational complexity.
and LG Electronics also joined the funding for Tenstorrent, which aims to rival semiconductor giant Nvidia in the creation of chips for AI. Export Development Canada , Healthcare of Ontario Pension Plan , Hyundai Motor Group , Baillie Gifford and other investors also participated in the deal. San Francisco-based Etched.ai
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1] However, with the rise of agentic AI, this situation will soon change, with powerful use cases emerging that will not just drive profits but also change how organisations operate, and workers do their jobs. Being able to tap into such ecosystems will help accelerate and derisk agentic AIinnovation with access to the latest technologies.
Watch our newest Multi-Cloud Briefing, The Frontiers of GenerativeAI for the Enterprise , which explores how the convergence of generativeAI and multi-cloud technologies is driving the next wave of business innovation. The most profound impact of generativeAI will be in the enterprise.
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