From working to accelerate insights into Coronavirus, to striving to manage supply chains the midst of social distancing, governments and enterprises are figuring out how to make optimal decisions during times of uncertainty and emotion. Sadly, despite many advances in predictive analytics, AI technologies – unless used within an augmented intelligence framework that combines both machine and human intelligence – often fall short of expectations. Join Genpact's Analytics Business Leader Amaresh Tripathy and guest Dr. Kjell Carlsson from Forrester to discuss how smart organizations are leveraging augmented intelligence to help ensure accuracy and relevancy of decisions and better outcomes. Genpact and Forrester will share examples from Fortune 500 leaders – across banking, consumer goods, retail, life sciences and health care – who are harnessing the power of augmented intelligence during this period of crisis.
United Arab Emirates-based global EdTech Alef Education is on a mission to digitally transform the education sector to support its most valuable resource: teachers. The United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics estimates that the world needs almost 69 million new teachers by 2030 to meet the deadline of the United Nations Sustainable Development Goal for quality education. But according to latest projections, the world will fail its education commitments without addressing the teacher shortage. Overwhelming teacher workload is a major contributor to teacher scarcity and the urgency to tackle this imbalance is a key driver for United Arab Emirates (UAE)-based global education technology Alef Education. The forward-thinking organization is shrinking teacher workloads and helping them better manage classrooms through its artificial intelligence (AI)-powered platform built on Amazon Web Services (AWS).
Is the US economy headed for an economic slowdown or recession? Forecasting the economy's ups and downs is difficult, but you don't have to batten down the hatches. Attend this webinar to learn how AI can help your lending business weather uncertain market conditions. Tune into hear why forward thinking banking leaders have turned to Zest AI to help them future proof their lending business. Have you created an account yet?
In coping with an emerging crisis, the need for accurate and actionable information is paramount for effective response – but there has never before been a scenario like the current COVID-19 pandemic. Responders are looking to new technologies including IoT and AI to help tackle this outbreak, but their deployment may have a far-reaching impact on our privacy. How can these technologies contribute to response, both globally and locally – and what privacy concerns could they raise, both now and in the months to follow? The evolution of IoT and AI has grown to the point where these technologies can now be called on to make a real contribution to responding to a crisis manifesting both globally and locally. Globally, modern analytics can learn about the factors of spread that can help analysts identify where actions need to be taken.
The role of artificial intelligence in healthcare continues to evolve as does the definition of what it is and is not. This state of flux has contributed to slower than desired adoption, unmet expectations, and gaps between deployment and value realization. If clinical artificial intelligence more specifically is to transform patient care, it must deliver insights that are unique, individualized, can be tied to community and align with existing workflows. Join Jvion, a market leader in clinical AI, along with leadership from Microsoft, for a one-hour webinar that will provide clarity and guidance to aid in addressing patient risk and improving population health across communities.
The European Commission has recognized the potential of Artificial Intelligence (AI), not only from a technical perspective but also and foremost for its potential role as enabler in the achievement of the Sustainable Developments Goals and in the European Green Deal objectives. NGIoT is holding a webinar to consider and discuss AI deployment. The aims of the webinar are to understand the main issues arising from the data protection framework, and to address issues of trust needed to use and share knowledge when talking about AI technologies. All who are interested (or just curious) are encouraged to participate and engage to better understand the state of play of AI, and to contribute ideas to reinforce a progressive view in the European dimension.
Pam Didner will share practical examples of how to use AI for your sales and marketing. And she will make it FUN! 11 am PST / 2 pm EST, April 9, 2020 You'll learn: - What is AI? What are the benefits of AI? - How can you evaluate AI for Marketing and Sales? - What are practical examples of AI applications that you need to know? At the end of this webinar, you won't be intimidated by AI anymore. You'll have ideas on how to apply AI to your marketing or sales jobs.
There has been a lot of talk, as of late, that the cloud has become a resource to turn to when a company needs large amounts of digital storage, constantly updated SaaS (software-as-a-service), or high-performance computing capabilities. Couple this with the expansion of AI (artificial intelligence) in applications, even smaller companies can realize the full computing power available in the cloud. And while the cloud has been highly publicized as an option for everything digital, an even more powerful environment exists that hasn't gotten nearly as much coverage, at least not yet. Lookout world here comes quantum computing. A recent IDC (Intl Data Corp.) survey of IT (information technology) and business personnel responsible for quantum computing adoption has revealed that improved AI capabilities, accelerated BI (business intelligence), and increased productivity and efficiency are quickly proving to be the top expectations of organizations currently investing in cloud-based quantum computing.
Fact: around 80 percent of the data in an organisation is completely unstructured. That'data chasm' can include images, web pages, hand-written documents, signatures, and even mobile content. You're invited to a special webinar to find out how to leverage all data types, including unstructured, to fill the data chasm – and fuel and scale your Intelligent Automation initiatives. Process automation requires machine-readable data, but for most organisations the vast majority of data is comprised of unstructured formats machines can't digest. Whether you are looking to start or scale an automation programme, traditional data capture options like OCR will disappoint.
Software-as-a-service (SaaS) has become part of the tech lexicon since emerging as a delivery model, shifting how enterprises purchase and implement technology. A new "_" as a service model is aspiring to become just as widely adopted based on its potential to drive business outcomes with unmatched efficiency: artificial intelligence as a service (AIaaS). According to recent research, AI-based software revenue is expected to climb from $9.5 billion in 2018 to $118.6 billion in 2025 as companies seek insights into their respective businesses that can give them a competitive edge. Organizations recognize that their systems hold virtual treasure troves of data but don't know what to do with it or how to harness it. They do understand, however, that machines can complete a level of analysis in seconds that teams of dedicated researchers couldn't attain even over weeks.