Event Speakers

Hanna Helin
Technology Innovation Executive | Advisor
LSEG (London Stock Exchange Group)

 

Nina Xiang
Founder
China Money Network

 

Amany Shousha
CTO for AI Pro Program, Information Technology Institute
The Voice for AI in Egypt

Anita Jovic
Founder, AI Serbia (AISRB)
Business Consultant & Owner, Anado.AI

Khaled Alhazmi
Director of the National Center for Robotics and IoT
King Abdulaziz City for Science and Technology (KACST)

 

Alex Borowicz
Ph.D. Environmental Data Scientist, Antarctica
Stony Brook University

Susan Omondi
Founder, VALUEADDITION
Thought-Leader Ethics & Diversity in Technology

 

Fang Chen
NSW Government, AI Advisory Committee Member
University of Technology Sydney, Distinguishes Professor

 

Sue Keay
CEO Queensland AI Hub
Chair of Robotics Australia

Ajay Krishan
AI Researcher
SpaceML

 

Bayo (Olubayo) Adekanmbi
Chief Transformation Officer
Digital Innovation & Strategy
MTN Nigeria

 

Jacques Ludik
Founder & CEO, Cortex Logic & Cortex Group
Founder & President, Machine Intelligence Institute of Africa (MIIA)

 

Mauricio Kimura
Ph.D. Legal Researcher in Technology & Law, University of Waikato Faculty of Law
Member Working Group on Adapting to AI Effects on Law, Ethics and Society, The AI Forum of NZ

 

Clara Langevin
AI and ML Platform Lead
Center for the Fourth Industrial Revolution Brazil / C4IR Brasil (Affiliate WEF)

Tunç Acarkan
AI Thought-Leader | Technology Management Director
MESS Turkish Employers’​ Association of Metal Industries

Shri Santhanam
EVP & GM, Global Analytics and AI Products
Experian

 

Bento Gonçalves
Ph.D. in Ecology and Evolution, Stony Brook University
Data Scientist, AI Engineer, Toptal

Pius Illah
Chief Strategy & Innovation Officer
Machine Intelligence Institute of Africa | MIIA

Tushar Kansal
Founder & CEO
Kansaltancy Ventures

 

Event Host & Facilitator

Dalith Steiger

Co-Founder, Global AI Thought Leader
SwissCognitive – The Global AI Hub

 

Andy Fitze

Co-Founder, Digital Transformation Strategist
SwissCognitive – The Global AI Hub

 

Tom Allen 
Panel Facilitator & Chair
SwissCognitive – The Global AI Hub

Founder
The AI Journal

Ganesh Padmanabhan
Panel Facilitator & Chair
SwissCognitive – The Global AI Hub

Host & Founder, Stories in AI

Event Team

Livia Spiesz

Global Events & Communications
SwissCognitive – The Global AI Hub

Valeska Hoenen

Content and Social Media Manager
SwissCognitive – The Global AI Hub

CognitiveVirtual

CognitiveVirtuals are regular worldwide-reaching online events bringing dozens of global AI leaders and experts together to share their views, experiences and expertise in the development of AI to the benefit of business and society. These 3 hour-long events are transparently addressing the development of cognitive technologies – including successes and challenges – while reaching and connecting a global online community of over ½ million followers.

All the sessions and formats are strictly content-driven with a non-sales approach, allowing focused and open discussions with no BS just content. These events provide not only a platform to brainstorm and network but also to position experts, leaders, organisation, research developments, the current status and future outlook of AI. 

Der Beitrag The Seven Continents-View on AI erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright by https://www.advancedsciencenews.com

Astronomy has a rich history of data gathering and record keeping. Most ancient civilizations developed their own version of astronomy, where significant solar and celestial events were used to establish calendars, support navigation, and played a strong cultural and spiritual role. Oral traditions, such as those used by the indigenous inhabitants of Australia, allowed celestial information to be preserved across millennia. Architectural marvels, including Stonehenge, the Thirteen Towers of Chankillo in Peru, and various temples in Egypt, all show strong alignments with the solstice sunrise or sunset position. These demonstrate a sophisticated understanding of the annual motion of the Sun along the horizon, which would likely have taken decades, or even centuries, of monitoring and record keeping to determine.

Fast forward several thousand years, and modern-day astronomers collect data about celestial objects using an assortment of telescopes and particle detectors. This observational data provides astronomers with information on the position, size, mass, and chemical composition of a myriad of astronomical phenomena such as planets, stars, pulsars, black holes, and galaxies. Our understanding of the Universe is further enhanced through the use of computer simulations, generating even more data for modelling, predicting, and supporting analysis of the observational data.

With access to datasets where sizes are measured in Petabytes, and soon, Exabytes, astronomers have been turning to machine learning (automated processes that learn by example) and artificial intelligence or AI (computers making decisions or discoveries that would usually require human intelligence) to help sift through the data….

Read more: https://www.advancedsciencenews.com

Der Beitrag Artificial Astronomers erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

read more – copyright by reportsherald.com

Machine learning is an area of artificial intelligence and computer science that includes the development of software and algorithms that can make predictions based on data:

Scope of the Report:

This report studies the Machine Learning Courses market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Machine Learning Courses market by product type and applications/end industries.

According to the report, one driver in the market is new learning patterns.

The global Machine Learning Courses market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Machine Learning Courses.

Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.

Market Segment by Companies, this report covers
EdX
Ivy Professional School
NobleProg
Udacity
Edvancer
Udemy
Simplilearn
Jigsaw Academy
BitBootCamp
Metis
DataCamp

Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Applications, can be divided into
Data Mining
Computer Vision
Natural Language Processing
Biometrics Recognition
Search Engines
Medical Diagnostics
Detection Of Credit Card Fraud
Securities Market Analysis
DNA Sequencing[…]

read more – copyright by reportsherald.com

Der Beitrag Machine Learning Courses Market Analysis, New Innovation and Current Business Trends by 2024 erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

copyright by theautomarket24.com

The regional and global segmentation of the global Cognitive Computing market segments the market into major regions covering United States, North America, Canada, Asia-Pacific, China, India, Japan, South Korea, Australia, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Italy, Europe, Germany, France, UK, Russia, Rest of Europe, Central & South America, Brazil, Rest of South America, Middle East & Africa, Egypt, Turkey, South Africa, Rest of Middle East & Africa and rest of the world. According to the research report, these are the leading market and estimated to grow during the forecast period. Holding the immense share in the global market, it is growing with good speed. Our Research will focus on sector analysis, market trends and competitive landscape and drivers as well as conducts the detailed market research and develop this single-volume resource document.

Leading Players Of Cognitive Computing Market Are:

Google LLC, IBM corporation, Microsoft corporation, Oracle corporation, SAP Inc, Statistical Analysis System (SAS) Software Ltd, Saffron Technology Inc, Vicarious FPC Inc, Palantir Technologies Inc, Enterra Solutions LLC

Global Cognitive Computing Market Segmentation:

Global market segmentation, by technology:

Natural Language Processing
Machine Learning
Automated Reasoning Information
Retrieval Global market segmentation, by deployment:

On-premises
Cloud Global market segmentation, by application:

Robotics
Cyber Security
Social Media Monitoring
Self-driving cars
Gaming
Video Surveillance
eLearning
Global market segmentation, by end-use:

Banking, Financial Services and Insurance (BFSI)
Media & Communication Services
Manufacturing and Natural Resources
Aerospace and Defence
Transportation and Logistics
Government and Utilities
Others (Food & Beverages, Oil & Gas, Real Estate)

Report Coverage:

-Worldwide and Top 20 Countries Market Size of Cognitive Computing , and development forecast 2018-2027.

-Main manufacturers/suppliers of Cognitive Computing global and market share by regions, with company and product introduction, position in the Cognitive Computing market.

-Cost and profit status of Cognitive Computing, and marketing status.

-Market growth, challenges, and drivers.

-Market current status and development trend of Cognitive Computing by types and applications.

Some of the key pointers addressed in the report have been enlisted below:

-An elucidation of pivotal pointers such as the market share amassed by every region sales and the volume accumulated over the projected time frame.

-Further details about the manufacturer base, such as generic overview of the company, an overview of the firm in terms of the position it currently commands in the Cognitive Computing market, and its expanse in the industry.

-An exhaustive summary of the products developed by the manufacturers in question and a concise summary of the product portfolio with respect to parameters such as the product applications and sales volume every product type accounts for.

-Pivotal pointers such as Cognitive Computing market competition trends as well as the market concentration rate – basically inclusive of the specifics about some of the top players of the Cognitive Computing market.[…]

Der Beitrag Global Cognitive Computing Market Report Highlighting Business Opportunities, Industry Leaders, And Forecast 2027 erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

copyright by inc42.com

This is not to say the millions of hours of online content are not valuable; the limits lie in the ability of the underlying technology to customise the material to the individual and to coach. That is about to change, though, through the use of virtual reality, artificial intelligence and sensors.

Meet Clifford and Rachael

Let me illustrate this with an imaginary school of the future in which Clifford is an artificial intelligence, a digital tutor, and Rachael is the human educational coach.

Clifford has been with the children for years and understands their strengths and weaknesses. He customizes each class for them. To a child who likes reading books, he teaches mathematics and science in a traditional way, on their tablets. If they struggle with this because they are more visual learners, he asks them to put on their virtual reality headsets for an excursion, say, to ancient Egypt.

Watching the design and construction of the pyramids, children learn the geometry of different types of triangles and the mathematics behind these massive timeless monuments. They also gain an understanding of Egyptian history and culture by following the minds of the geniuses who planned and constructed them.

Clifford will meet with the parents

Clifford also teaches art, music, and biology through holographic simulations.

By using advanced sensors to observe the children’s pupillary size, their eye movements and subtle changes in the tone of their voice, Clifford registers their emotional state and level of understanding of the subject matter. There is no time pressure to complete a lesson, and there are no grades or exams. Yet Clifford can tell the parents how the child is doing whenever they want to know and can advise the human, Rachael, on what to teach.

Rachael does not lecture or scrawl facts or equations on a blackboard. She is there to listen and help. She asks questions to help develop the children’s values and thinking and teaches them how to work with one other. She has the responsibility of ensuring that students learn what they need to, and she guides them in ways Clifford cannot. She also helps with the physical side of projects, things made out of real materials rather than in mind and machine. […]

read more – copyright by inc42.com

Der Beitrag Virtual Reality And AI Hold The Future Of Education erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.