new At Synapse Partners, we invest in early-stage startups working on enterprise applications that combine big data with AI and advise global automotive, telco, and financial services corporations on new mobility, AI strategies, autonomous vehicles, software-defined vehicles, and startup-driven innovations. We also leverage our knowledge of AI and expertise to solve strategic problems for corporations and help accelerate their AI initiatives. — Startup City, 9h ago

new How can AI tools help solve today’s business needs? Move beyond the ‘hype’ and join the conversation around AI tools that deliver real-world business solutions at RMIT’s AI for Industry Day. — rmit.edu.au, 8h ago

new ...data-centric business problems through no-code and AI-assisted analytics and... — pipelinepub.com, 9h ago

new Newer technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) let businesses modernise processes and equip staff with new tools that make their jobs easier. However, to implement this technology successfully, businesses first need to understand the impact technology can have on operations and then create a digital transformation strategy that will achieve the goals and bridge gaps in the organisation. — IT Brief New Zealand, 6h ago

new Transforming healthcare through AI and data science will depend upon meaningful collaboration between clinicians and data scientists, underpinned by scientific rigour and the highest ethical practices. The Institute acts as a catalyst for this type of collaboration, and we look forward to working with them on advances to improve the lives of people with heart disease in the years to come.’... — The Alan Turing Institute, 8h ago

new GShard is able to tackle some of the biggest challenges in NLP, including improving accuracy, reducing training time, and handling large datasets. This cutting-edge technology has the potential to transform the way we process and analyze natural language data, opening up new possibilities for machine learning applications in various industries. — Zephyrnet, 1d ago

new ...3 MLOps: How to Accelerate Your Machine Learning Projects with Automation... — bbntimes.com, 8h ago

new Quickly identify coaching opportunities with a powerful single view of seller and team performance, and discover what matters most with AI-powered insights. — Salesloft, 7h ago

new ..., the true AI company solving businesses’ complicated optimization challenges has launched... — TechMoran, 17h ago

new CEOs and CSCOs are increasing digital supply chain investments in response to supply chain disruptions. Technology leaders need to align supply chain design and transformation initiatives with technology strategy. — Gartner, 8h ago

new Artificial intelligence (AI) technologies affect many business challenges. Gartner has crafted an AI maturity model to accelerate and optimize data and analytics leaders’ AI strategy and implementations to achieve the best value from AI technologies. In this session, Gartner VP Analyst... — Gartner, 23h ago, Event

new Advanced technologies like AI, Machine Learning, demand forecasting and predictive analytics can analyze complex data from both internal and external sources, resulting in precise predictions and valuable insights. — SAPinsider, 1d ago

new Clinical Architecture delivers healthcare enterprise data quality solutions focused on managing vast amounts of disparate data to help customers succeed with analytics, population health, and value-based care. Our solutions produce trusted, actionable data to enable smart decisions that mitigate risk, reduce cost, and improve outcomes. Schedule a meeting with us during #ViVE2023 so we can show you how we’ve helped some of the largest healthcare enterprises overcome their data quality struggles. — histalk2.com, 23h ago

new Dynanet has a proven track record of helping our customers accomplish their business mission and goals. Dynanet delivers system integration services that solve complex business problems in the areas of Automation, Agile Application Development, Cloud Enablement and Migration, Legacy Systems Modernization, Data Analysis and Visualization (including AI and ML), and Security and DevSecOps. Dynanet's industry experts follow tailored approaches to provide advanced solutions that meet the unique needs of its customers in the best way possible. Dynanet was named a Washington Post Top Workplaces in the... — prnewswire.com, 1d ago

new This is where AI cyber solutions come into play. By leveraging machine learning algorithms and natural language processing capabilities, these advanced technologies can provide real-time threat detection and response, identify vulnerabilities, and prevent cyber attacks. There are several reasons why AI cyber solutions are crucial in the context of Web3 and Blockchain. — blockchain-council.org, 1d ago

new The strategy seeks to build on this and respond to the dramatic rise in computer power with the release of large language models like ChatGPT. It also aims to address the risks posed by AI technologies when used without transparent processes and good human oversight. As a result, one of the biggest challenges facing researchers is ensuring these technologies are used ethically and for societal good. — The Alan Turing Institute, 23h ago

new Artificial Intelligence has the potential to help address many of the challenges faced by the healthcare industry. However, it is important to make sure that AI development and implementation are ethical and responsible, with consideration given to issues like data privacy, algorithm bias, and the potential to impact healthcare professionals and patients. Additionally, it is also important to ensure that AI does not replace the element of human healthcare and that healthcare professionals are trained to work collaboratively with AI tools to deliver the best possible care to their patients. — eLearning Industry, 1d ago

new ...“It's also important to include business leaders to identify business problems that can be solved by AI, providing use cases, and setting priorities for AI-based app development based on business needs,” he says. — InformationWeek, 1d ago

new ...(booth S459).Peak Analytics will give users the actionable intelligence they need to solve key business challenges, such as:... — Multichannel Merchant, 1d ago

new ..., a leader in quantum computing systems and services, is focused on delivering customer value through practical quantum applications for problems such as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, fault detection, and financial modeling. The company is building technologies today to enable new solutions for tomorrow – unlocking commercial use cases in optimization illustrated through its customer success stories (... — InvestorWire (IW), 1d ago

new ...about solving your most pressing business problems with AI, leveraging the entire MT landscape for your benefit, and more. — Slator, 1d ago

new A study has investigated the potential of artificial intelligence (AI) to address societal mega-trends and analyzed its proposed solutions in dealing with these global challenges. Artificial ... — ScienceDaily, 2d ago

new Banks are currently addressing the challenges as a result of changing consumer demands, digital rivals, and increased regulatory compliance through customer-centric innovation strategy led by open banking, agile transformation, big data, AI, cloud, embedded finance and regulatory frameworks policy initiatives that is reshaping how banks have historically worked. However, legacy systems are weighing them down and they find it difficult to adapt to the growing needs of a tech-savvy generation. — Fintechnews Middle East, 1d ago, Event

new ...the innovation company solving society's challenges through collaboration with government, startups and industry... — techuk.org, 1d ago

new DataRobot introduced its latest AI platform, designed to drive value-driven decision-making. The new DataRobot AI Platform 9.0 offers advanced ML capabilities and easy-to-use tools for building and deploying AI models and focuses on creating value-driven AI solutions that can improve outcomes and deliver business impact. — ReadITQuik, 1d ago

new ...aims to help innovators navigate these challenges while increasing the adoption of Edge AI using solutions from Qualcomm Technologies across security, safety, healthcare, robotics, cameras, displays, optical inspection and other IoT applications. — EE Times India, 1d ago, Event

new Iterate.ai believes that generative AI is one of today’s most exciting and promising emerging technologies. Combining the power of generative AI with the Interplay low-code platform promises to further accelerate the pace that businesses can build differentiated, compelling, and modern digital experiences for their customers, employees, and partners. — MarTech Series, 1d ago

new For BFSIs, AI has become key in fraud analysis and investigation, program advisors and recommendation systems, automated threat intelligence and prevention systems, and automated customer service agents. AI has become a key component in offering enhanced customer experiences in financial services companies. Indeed, AI-powered insurance providers are using AI applications to process insurance and claim settlements. The pandemic has accelerated the adoption of multiple use cases around chatbots, computer vision, video know your customer (KYC), and others to efficiently serve customers and enable smooth onboarding. — IDC: The premier global market intelligence company, 1d ago, Event

new With privacy regulations emerging globally, businesses are finding it difficult to design their privacy journey, meeting complex privacy requirements in their data lakes and data pipelines. Integrating NetApp’s deep expertise in data management and hybrid cloud data services with PrivaSapien’s pioneering privacy engineering solutions can empower customers to create privacy-complaint data ecosystems, which can be a strategic differentiator in gaining the end user’s trust. — YourStory.com, 1d ago

new If you’re considering a career in machine learning, it is essential that you are conversant with the fundamentals of probability. Not only will this prepare you for the machine learning algorithms and data science techniques you will encounter during your career, but understanding probability also allows for better predictions on real-world problems. — IoT Worlds, 1d ago

new Of course, incorporating AI also presents challenges. For one, the cost of technology can be an obstacle, as AI solutions can be expensive to acquire and maintain. In addition, professionals are often unfamiliar with AI and, thus, may be wary of implementing it. Finally, the analysis of sensitive data can lead to privacy concerns. With these challenges in mind, organizations should carefully weigh the benefits and obstacles when considering the implementation of AI solutions. — Science World Report, 1d ago

new ...announced significant enhancements to its data reliability solution, including no-code/low-code options, intelligent alerting, targeted recommendations, and self-healing capabilities to solve the most complex data reliability challenges while improving operational efficiency and reducing costs. — RTInsights, 2d ago

new ...to solve business problems, and the applied AI expertise to help customers... — outlookseries.com, 1d ago

new ...industry players to handle new risks and difficulties brought on by the application of AI in... — cnbctv18.com, 1d ago

new Generative AI comes with the complexity of training and deploying the models, requiring massive computing resources and dedicated infrastructure. MLOps, when combined with Generative AI, can help address these challenges by providing a great framework for managing the development and deployment of generative AI models along with automating the processes involved. For an organization to improve its infrastructure, integrating MLOps can help them include features like parameter optimization, automated deployment & scaling to generative AI applications without any additional manual cost. — MarkTechPost, 2d ago

new Artificial intelligence (AI) has emerged as a critical driver of innovation, efficiency, and growth for businesses that strive to stay ahead of the curve. However, incorporating AI into business operations presents a unique set of ethical implications and practical challenges that decision-makers must consider, such as... — The European Business Review, 2d ago

new With the use of Artificial Intelligence (AI), the company is able to adapt manually operated machinery and make it autonomous. Their technology has also solved one of the most pressing problems surrounding self-driving vehicles: how they adapt to their surroundings. — venturelab.ca, 1d ago

new ...“Working with PwC provides a unique opportunity to further enhance AI’s potential to solve the most complex legal problems,” he said. — lawyersweekly.com.au, 2d ago