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Top 10 Trends for Financial Institutions in 2017
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The 2018 IDG Cloud Computing study was conducted to measure cloud computing trends among technology decision-makers, which includes their usage and plans across various cloud service and deployment models, investments, business drivers and impact on business strategy and plans.
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The 2018 IDG Digital Business research was conducted to gain a better understanding of how organizations are evolving to a digital business model in terms of revising technology strategies, changing organizational structures and processes, and innovating to provide a unique customer experience.
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CIO’s 17th annual “State of the CIO” survey was conducted with the goal of understanding how the CIO role continues to evolve in today’s business climate and to help define the CIO agenda for 2018.
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CIO conducted the COVID-19 Impact Study to better understand how organizations were prepared for this past month and beyond, and how IT leaders are responding.
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Network World’s State of the Network research is conducted annually to gain a deeper understanding of the network environments within today’s organizations.
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The CIO Tech Poll: Tech Priorities 2018 study explores the upcoming tech spending plans and budgets for organizations, and outlines the technology areas IT leaders expect their budgets to focus on.
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The 2018 IDG Digital Business research was conducted to gain a better understanding of how organizations are evolving to a digital business model in terms of revising technology strategies, changing organizational structures and processes, and innovating to provide a unique customer experience.
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CIO’s 17th annual “State of the CIO” survey was conducted with the goal of understanding how the CIO role continues to evolve in today’s business climate and to help define the CIO agenda for 2018.
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CIO conducted the COVID-19 Impact Study to better understand how organizations were prepared for this past month and beyond, and how IT leaders are responding.
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The 2017 IDG Role & Influence of the Technology Decision-Maker survey examines the evolving role of IT decision-makers (ITDMs) in today’s corporations, specifically as organizations move towards a more digital-focused business.
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Based on the 2018 State of the CIO research, this infographic provides insights into how IT leaders are leading change efforts and promoting a culture of collaboration.
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This is a concise presentation on business transformation through IoT delivered at the Smart Home Summit in Burlingame, CA in November 2018. The presentation touches on how and why the data from connected IoT devices can be incredibly valuable to the business and drive digital transformation in the enterprise.
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This is a concise overview of cellular technology in IoT today. The presentation focuses on cellular communications in IoT and was delivered by Josh Pederson at a speaking session of the Cloud Expo 2018 conference in New York, NY. The presentation discusses the history of cellular in IoT and the arrival of low power wide area (LPWA) cellular communications of LTE-M and NB-IoT. In addition various consumer and commercial use cases for LPWAN cellular devices are provided.
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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
My presentation at the Lehigh Carbon Community College (LCCC) NSA GenCyber Cyber Security Day event that is intended to foster an interest in the cyber security field amongst college students.
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GenCyber Cyber Security Day Presentation
Michael W. Hawkins
In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
Digital Global Overview Report 2024 Slides presentation for Event presented in 2024 after compilation of data around last year.
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Top 10 Trends for Financial Institutions in 2017
1.
FOR FINANCIAL INSTITUTIONS IN
2017 TOP 10 TRENDS & PREDICTIONS © EPICTENET.
2.
54% Removing frictions from the customer
journey © EPICTENET.
3.
53% Usage of big
data, AI, advanced analytics and cognitive computing © EPICTENET.
4.
45% Improvement in integrated multi- channel
delivery © EPICTENET.
5.
32% 29% Open APIs Building partnerships between
banking and fintech firms, Expansion of digital payments © EPICTENET.
6.
18% Increment in Responding to Regulatory changes 11% Exploring advanced technologies (IoT,
voice) © EPICTENET.
7.
1O% 9% Emergence of new challenger banks Investment
in an innovation accelerator or accelerator program © EPICTENET.
8.
SOURCE : DBR RESEARCH DECEMBER 2016
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