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- Advancing AI Capabilities for SMBs and SMEs with Scalable Quantum ML PlatformsWith its enormous calculation speed, quantum computing (QC) has the potential to tackle a wide range of issues that traditional computers struggle to handle. The study of the nexus between quantum computing and machine learning is known as quantum machine learning (QML). Many small and medium-sized businesses (SMEs) and small-to-medium-sized businesses (SMBs) are searching for ways to use QML...0 Comments 0 Shares 3360 Views 0 Reviews
- AI & Machine Learning Operationalization Software Market Outlook and Future Projections for 2032The most recent research study published by Exactitude Consultancy regarding “AI & Machine Learning Operationalization Software Market Forecast 2024 to 2032″ offers precise global, country-level, and economic forecasts and evaluations. It presents a comprehensive view of the competitive market landscape, along with an extensive analysis of the supply chain, aiding companies in...0 Comments 0 Shares 113 Views 0 Reviews
- AI and Digital Transformation: Revolutionizing Future in 2025Artificial Intelligence (AI) has evolved from a mere buzzword to the driving force behind a transformative wave of digital innovation. As we approach 2025, AI's integration into business strategies is reshaping industries and paving the way for groundbreaking advancements. From machine learning to natural language processing (NLP), digital transformation is experiencing a seismic shift....0 Comments 0 Shares 309 Views 0 Reviews
- AI and Machine Learning Enhance Commercial Drone FunctionalityThe global commercial drone market is projected to reach USD 6.4 billion by 2024, expanding at a robust CAGR of 11.2% to USD 18.6 billion by 2034. The rising demand for mini commercial drones in various industries is driven by their low operational costs and high endurance, making them ideal for both civil and commercial applications. Additionally, the integration of advanced...0 Comments 0 Shares 1345 Views 0 Reviews
- AI Applications in the Chemical Sector: Market Analysis and Future OutlookAI in Chemicals Market: Growth, Trends, and Forecast 2024 The global AI in Chemicals Market size was valued at USD 1.4 billion in 2023 and is projected to reach USD 1.8 billion in 2024. The market is expected to grow significantly, reaching USD 13 billion by 2032, reflecting an impressive compound annual growth rate (CAGR) of 31.6% during the forecast period (2024–2032). AI in the...0 Comments 0 Shares 3 Views 0 Reviews
- AI Transforming Healthcare: A New Era for Policy InnovationWe live in an age where personalization is key to our experiences, from music and web series to the products and services we use, all tailored to us based on data collected by websites and apps. This capability helps us better understand our needs and improve our overall quality of life. Similarly, in the healthcare sector, technologies like artificial intelligence (AI), natural language...0 Comments 0 Shares 654 Views 0 Reviews
- AI-Tech Interview with Murali Sastry, SVP Engineering at SkillsoftMurali, Could you begin by providing us with an introduction and detailing your career trajectory as the Senior Vice President, Engineering at Skillsoft? I joined Skillsoft in 2016 as the VP of engineering after a career spanning over two decades at IBM, where I led the build out of large-scale enterprise solutions and innovative software products. 2016 was an exciting time to join Skillsoft...0 Comments 0 Shares 1893 Views 0 Reviews
- AITech Interview with Arnab Sen, VP-Data Engineering at Tredence IncData science is a rapidly evolving field. How does Tredence stay ahead of the curve and ensure its solutions incorporate the latest advancements and best practices in the industry? At Tredence, we constantly innovate to stay ahead in the rapidly evolving data science field. We have established an AI Center of Excellence, fueling our innovation flywheel with cutting-edge advancements....0 Comments 0 Shares 3633 Views 0 Reviews
- AITech Interview with Cristina Fonseca, Head of AI, ZendeskWhat challenges have you faced in implementing AI at Zendesk and how have you overcome them? I believe that across the industry, businesses have made AI hard to make, understand and use. Up until OpenAI released ChatGPT it was accepted that AI was a highly technical field that required long implementation processes and specialised skills to maintain. But AI should be easy to understand, train...0 Comments 0 Shares 1639 Views 0 Reviews
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