The Analytic Gap – Matching decision making with data analytics

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Abstract della presentazione di Giancarlo Vercellino, Research & Consulting Manager di IDC Italia, tenuta nel corso dell'executive meeting Insightful Business a Roma il 15 giugno 2016

Tecnologia

Giancarlo Vercellino
The Analytic Gap – Matching decision
making with data analytics (Excerpt)
1

Digital Transformation requires a different decision making?
2
Source: IDC, SW Survey 2015 (n=223, employees > 50, different within groups; weighted percentages)

Reasons to invest in new/upgraded business analytics
3
Source: IDC, SW Survey 2015 (n=223, employees > 50, different within groups; weighted percentages)

IT priorities are driving factors over Biz priorities …
Implementing
new/ upgraded
business
analytics
Introducing new/
upgraded business
application
Improving end-user
services
Supporting business
innovation
Organizational
Change
Deliver more
information to
mobile
Consolidate
different IT systems
No primary focus
on cost reduction
4
2%
75%
4%
8%
Source: IDC, Tree Analysis based on SW Survey 2015 (n=223; weighted extrapolation)

Advanced analytics at the
crossroad of Digital
Transformation and
Hybrid IT
5
Implementation of
new/ upgraded
analytics
55,6%
(respondents rating as
very/ extremely important)
Source: IDC, SW Survey 2015 (n=223; employees > 50, weighted extrapolation)

IDC Italia
Viale Monza 14
20127 Milano
Tel: +39 02 28457339
gvercellino@idc.com
Giancarlo Vercellino
Research & Consulting
Manager
IDC Italy
www.idc.com

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Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

apidays

Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

A Year of the Servo Reboot: Where Are We Now?

Igalia

Manulife - Insurer Innovation Award 2024

The Digital Insurer

Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

UK Journal

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

Joaquim Jorge

The Analytic Gap – Matching decision making with data analytics

1. Giancarlo Vercellino The Analytic Gap – Matching decision making with data analytics (Excerpt) 1

2. Digital Transformation requires a different decision making? 2 Source: IDC, SW Survey 2015 (n=223, employees > 50, different within groups; weighted percentages)

3. Reasons to invest in new/upgraded business analytics 3 Source: IDC, SW Survey 2015 (n=223, employees > 50, different within groups; weighted percentages)

4. IT priorities are driving factors over Biz priorities … Implementing new/ upgraded business analytics Introducing new/ upgraded business application Improving end-user services Supporting business innovation Organizational Change Deliver more information to mobile Consolidate different IT systems No primary focus on cost reduction 4 2% 75% 4% 8% Source: IDC, Tree Analysis based on SW Survey 2015 (n=223; weighted extrapolation)

5. Advanced analytics at the crossroad of Digital Transformation and Hybrid IT 5 Implementation of new/ upgraded analytics 55,6% (respondents rating as very/ extremely important) Source: IDC, SW Survey 2015 (n=223; employees > 50, weighted extrapolation)

6. IDC Italia Viale Monza 14 20127 Milano Tel: +39 02 28457339 gvercellino@idc.com Giancarlo Vercellino Research & Consulting Manager IDC Italy www.idc.com

The Analytic Gap – Matching decision making with data analytics

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