Next Big Adventure for Deepsphere.AI
DeepSphere AI India Pvt, Ltd., on August 5, 2021, signed a Memorandum of Understanding (MoU) with The Department of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur Campus, to set out opportunities for association and progressive academic engagement between our institution and the industry.
DeepSphere AI offers a BCA program in DataScience and Artificial Intelligence in Collaboration with SRM IST. The MoU was exchanged in the presence of Mr Venkatrenga Gupta, Managing Director - DeepSphere AI, and The Registrar, SRM IST. The objective of this MoU is to provide Curriculum enrichment, R&D support for the student and faculty projects, organizing workshops and value-added programs for students, providing internships for students, and hiring students from the institution.
GET A SNEAK-PEEK INTO THE FUTURE OF ARTIFICIAL INTELLIGENCE!
Deepsphere.AI is conducting a two-day ‘Applied Artificial Intelligence Workshop’ for middle and high school students on July 24 and July 25, 2021.
It is a virtual instructor-led workshop that focuses on creating awareness about the real-world application of artificial intelligence and provides hands-on training to the students by implementing industry use cases on an enterprise-grade lab infrastructure.
In this two-day program, the students will gain knowledge on Data Science, Intelligence Automation, and Digital Transformation. They will also learn how to develop machine learning models on an advanced computing lab infrastructure such as google cloud, google collab, and open source technologies.
Know your Instructor:
Jothi Periasamy is the subject matter expert who knows his ins and outs in the field of Data Science and Artificial Intelligence. He is currently the Board Member at the University of California, Chief Data Scientist, Applied Machine Learning & Data Engineer. He has more than 17 years of experience in management consulting and end-to-end AI (ML, DL, RPA, NLP) experience with Deloitte, E&Y, and KPMG.
Can you teach coding to kids in a mobile game app in local languages. Do you need to be good in English to learn coding in R or Python?
How young can we train people in coding-
something we worked on for six months but now we are giving up due to lack of funds is this idea.
Feel free to use it, it is licensed cc-by-sa
As AI become the new general purpose tool like electricity and internet, government and nations are investing billions of dollars into AI. Some countries are regulating it while others wait and see. How would AI affect the society that the government need to think about ? what can the government bodies do and consider in maximising the benefits while minimising the risks and societal cost of AI global wide adoption? This talk reveals the trends, facts and possibilities of AI in the society we live in. Have the courage and curiosity to find out.
Next Big Adventure for Deepsphere.AI
DeepSphere AI India Pvt, Ltd., on August 5, 2021, signed a Memorandum of Understanding (MoU) with The Department of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur Campus, to set out opportunities for association and progressive academic engagement between our institution and the industry.
DeepSphere AI offers a BCA program in DataScience and Artificial Intelligence in Collaboration with SRM IST. The MoU was exchanged in the presence of Mr Venkatrenga Gupta, Managing Director - DeepSphere AI, and The Registrar, SRM IST. The objective of this MoU is to provide Curriculum enrichment, R&D support for the student and faculty projects, organizing workshops and value-added programs for students, providing internships for students, and hiring students from the institution.
GET A SNEAK-PEEK INTO THE FUTURE OF ARTIFICIAL INTELLIGENCE!
Deepsphere.AI is conducting a two-day ‘Applied Artificial Intelligence Workshop’ for middle and high school students on July 24 and July 25, 2021.
It is a virtual instructor-led workshop that focuses on creating awareness about the real-world application of artificial intelligence and provides hands-on training to the students by implementing industry use cases on an enterprise-grade lab infrastructure.
In this two-day program, the students will gain knowledge on Data Science, Intelligence Automation, and Digital Transformation. They will also learn how to develop machine learning models on an advanced computing lab infrastructure such as google cloud, google collab, and open source technologies.
Know your Instructor:
Jothi Periasamy is the subject matter expert who knows his ins and outs in the field of Data Science and Artificial Intelligence. He is currently the Board Member at the University of California, Chief Data Scientist, Applied Machine Learning & Data Engineer. He has more than 17 years of experience in management consulting and end-to-end AI (ML, DL, RPA, NLP) experience with Deloitte, E&Y, and KPMG.
Can you teach coding to kids in a mobile game app in local languages. Do you need to be good in English to learn coding in R or Python?
How young can we train people in coding-
something we worked on for six months but now we are giving up due to lack of funds is this idea.
Feel free to use it, it is licensed cc-by-sa
As AI become the new general purpose tool like electricity and internet, government and nations are investing billions of dollars into AI. Some countries are regulating it while others wait and see. How would AI affect the society that the government need to think about ? what can the government bodies do and consider in maximising the benefits while minimising the risks and societal cost of AI global wide adoption? This talk reveals the trends, facts and possibilities of AI in the society we live in. Have the courage and curiosity to find out.
Democratizing Intelligence - Sri Ambati, CEO & Co-Founder, H2O.aiSri Ambati
Presented at #H2OWorld 2017 in Mountain View, CA.
Enjoy the video: https://youtu.be/ZrlJQqNaSMI.
Learn more about H2O.ai: https://www.h2o.ai/.
Follow @h2oai: https://www.twitter.com/h2oai.
Data Science at LinkedIn - Data-Driven Products & InsightsYael Garten
Talk given at Big Boulder conference hosted by Gnip in Boulder, Colorodo on June 21, 2012. This talk provides an intro to Data Science at LinkedIn, and highlights the type of roles a Data Science team can play at a data-driven company. We use data (1) to create products that truly serve our members, (2) to derive insights, and (3) to generate wisdom which enables us to take the products and company to the next level. LinkedIn's data on 160+ million professionals' careers and networks provides a fascinating playground for data scientists to discover data insights about career trends, the social web and the economy.
This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.
Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start.
About Parul Pandey:
Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.
AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...Sri Ambati
In this session, you will learn about what you should do after you’ve taken an AI transformation baseline. Over the span of this session, we will discuss the next steps in moving toward AI readiness through alignment of talent and tools to drive successful adoption and continuous use within an organization.
To find additional videos on AI courses, earn badges, join the courses at H2O.ai Learning Center: https://training.h2o.ai/products/ai-foundations-course
To find the Youtube video about this presentation: https://youtu.be/K1Cl3x3rd8g
Speaker:
Chemere Davis (H2O.ai - Senior Data Scientist Training Specialist)
Telangana State Faculty Transformation Program: Interdisciplinary Workshop i...Jothi Periasamy
Objectives
Readiness and Awareness: To provide a deep understanding of applied artificial intelligence and its real-world applications and in what form AI is used in the industry.
Strategy and Roadmap: To review how artificial intelligence reinvents education and discuss the strategy and roadmap of future education.
Introduction & Hands-on with H2O Driverless AISri Ambati
These slides were presented by Marios Michailids and John Spooner at Dive into H2O: London on June 17, 2019.
Marios's session can be found here: https://youtu.be/GMtgT-3hENY
John's session can be found here: https://youtu.be/5t2zw4bVfsw
Vertical is the New Horizontal - MinneAnalytics 2016 Sri Ambati Keynote on AISri Ambati
Data is the only vertical, Machine Learning, bigdata, artificial intelligence
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
IC-SDV 2019: The Economics of Artificial Intelligence and Machine Learning fo...Dr. Haxel Consult
Decision points for when to implement automatic indexing or more intensive subject analysis
Machine learning and artificial intelligence approaches to automatic indexing and other aspects of content enrichment have tremendous potential, but there are significant barriers to successful implementations. The economics of these systems are not now generally affordable, which will indefinitely delay widespread adoption. Significant costs are involved in just the training and maintaining systems that chronically under perform and are fail to scale. Cost and performance data will be characterized and presented. Machine learning and artificial intelligence projects are not for the faint of heart, nor for those with small budgets. Key cost elements are identified along with approaches to estimating costs based on actual and reported cases.
AI Foundations Course Module 1 - An AI Transformation JourneySri Ambati
The chances of successfully implementing AI strategies within an organization significantly improve when you can recognize where your organization is on the maturity scale. Over this course, you will learn the keys to unlocking value with AI which include asking the right questions about the problems you are solving and ensuring you have the right cross-section of talent, tools, and resources. By the end of this module, you should be able to recognize where your organization is on the AI transformation spectrum and identify some strategies that can get you to the next stage in your journey.
To find additional videos on AI courses, earn badges, join the courses at H2O.ai Learning Center: https://training.h2o.ai/products/ai-foundations-course
To find the Youtube video about this presentation: https://youtu.be/PJgr2epM6qs
Speakers:
Chemere Davis (H2O.ai - Senior Data Scientist Training Specialist)
Ingrid Burton (H2O.ai - CMO)
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
What to learn during the 21 days Lockdown | EdurekaEdureka!
Register Here: https://resources.edureka.co/21-days-learning-plan-webinar/
In light of the complete national lockdown for 21 days, we invite you to join a FREE webinar by renowned Mentor and Advisor, Nitin Gupta as he helps you create a 21-day learning gameplan to maximize returns for your career.
The webinar will help freshers and experienced professionals to capitalize on these 21 days and figure out the best technologies to learn while confined to home.
You will also get all your questions and doubts resolved in real-time.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Meetup: https://www.meetup.com/edureka/
An AI Maturity Roadmap for Becoming a Data-Driven OrganizationDavid Solomon
The initial version of a maturity roadmap to help guide businesses when adopting AI technology into their workflow. IBM Watson Studio is referenced as an example of technology that can help in accelerating the adoption process.
#OSSPARIS19 - Overcoming open source challenges in reinforcement learning - W...Paris Open Source Summit
#IA Track - Practical applications
Reinforcement learning is a rapidly growing branch of artificial intelligence that has achieved super-human performance in board games such as Go and chess and video games such as Starcraft. Research papers and open code in this field are widely available.
However, unlike other fields of machine learning, open code and research has so far largely failed to translate into real world applications.
In this talk, we leverage the indust.ai team's experience in developing their own reinforcement learning activity to discuss the challenges involved. These include poor reproducibility, varying code quality, prohibitive computation and data requirements, the difference in mindset between traditional machine learning and reinforcement learning, and the difficulty of finding the skills required to transfer academic research to the real world. We will also present some of our approaches for overcoming these issues.
AI-SDV 2020: Can There Be Profitable Revenue from an AI Deployment? The Upsid...Dr. Haxel Consult
In the last twelve months AI activity has continued to accelerate. While there have been major setbacks in AI over the decades its recent up surge seems to be holding. Many positives stories are hitting the news, but is anyone actually making any money on AI deployments besides the big AI vendors? Have there been significant, meaningful cost reductions from AI deployments? Yes! Brief case studies will be presented from primary and secondary sources illustrating impacts on real world cost savings and revenue enhancements. As is always the case with real world projects there are lessons learned!
Carmelo Iaria, AI Academy - How The AI Academy is accelerating NLP projects w...Sri Ambati
This session was recorded in San Francisco on February 5th, 2019 and can be viewed here: https://youtu.be/aXPE6IiKRmI
The 2018 Brazilian Presidential Elections represented a tangible demonstration of radical change in the way candidates conduct their campaigns, as the shift from traditional media to social media hit the shore of the largest country in the southern hemisphere.
Analyzing the political agenda, the broadcast TV-based debates and exchange on social media networks was an NLP feast that The AI Academy reckoned was too good to pass. In this panel, we present the work we conducted , and will show how Driverless AI helped us accelerate our NLP experiments thanks to the recent introduction of advanced text analytics recipes.
Bio: Maker/Dreamer/Iconoclast/Chaordic Leader with over 20 years of experience across a number of high-tech industries around the world. Curiosity towards new technologies and the ability to adapt to different cultural and social environments has taken him from a research lab in Italy to a start up in Denmark, to a multinational technology company in Silicon Valley, and ultimately to a leading broadband and video service provider in Brazil. Time and again his career journey has demonstrated his ability to recognize at a very early stage high-potential disruptive ideas and the determination to transform an idea into a real product / service.
Over the past seven years, Carmelo cultivated his passion for innovation by leading major technology incubations at a large Telecom operator, supporting the Brazilian startup ecosystem as a Mentor at a startup accelerator and continuously extending his business and technology knowledge through a blend of formal learning & hands-on projects implementations. His focus over the past few years has been on Data Science and Artificial Intelligence, carrying out in-depth technology investigations, product incubations and solutions development.
By establishing The AI Academy, Carmelo intends to create and foster a rich environment for the study, research and application of Machine/Deep Learning techniques to real-life use cases, bridging the AI gap between talent and Enterprises - and furthermore elevating Brazil's "AIQ", inserting São Paulo on the world's AI Map.
How DeepSphere.AI Transformed Fresh Graduates Into Data Scientists At Databri...HemaMaliniP5
DeepSphere.AI transformed students who could now become Data Scientists (At Databricks).
Click here ➡️ https://lnkd.in/gzfwdMev For extensive details about this benchmark study.
LET'S START WITH A PROVEN AND VERIFIABLE ACCOMPLISHMENT:
BACKGROUND:
To date, we have not seen a benchmark study on the effectiveness of a data science program.
In this article, we provide enough details based on our teaching and some of the large-scale data science industry projects we are working on with Google and the AWS team. Many data science programs are offered in the market, from big brand names to small educational institutions. Still, we are unsure which one to enroll in and which may be the best choice to achieve my goals and objectives.
WHAT DO WE SEE IN THE MARKET:
We have several conceptual data science programs taught by academically well-qualified professionals without industry implementation exposure. We may also see another extreme, a data science program filled with python programs and taught by technical experts.
We need a balanced curriculum where the learner can learn both concepts and technology, which should be guided by someone who has successfully implemented one or two data science projects for real industry clients at a production scale. The modern data science curriculum should teach beyond use case development and Python syntax.
A BENCHMARK STUDY FOR HIGHLY PRODUCTIVE DATA SCIENCE LEARNING:
We conducted this benchmark study with 500+ students studying data science in the bachelor's program and 243+ teachers teaching data science.
500+ DATA SCIENTISTS: Our six semesters bachelor's in data science program is offered at SRM university. The study focused on transforming students into employable data scientists with industry skills. Around 500+ students are studying across all campuses and semesters.
243+ DATA SCIENCE TEACHERS: HODs, professors, assistant professors, research scholars, and management staff from 110 universities and colleges provided feedback both in quantitative and qualitative formats. Approximately 243 teachers participated in this benchmark and shared their views on our data science program advancement. Here is the participant's profile.
PhDs: 63
Professors: 09
Assistant Professors: 55
Associate Professors: 34
Research Scholars: 11
WHAT DO YOU NEED TO LOOK FOR IN AN EFFECTIVE AND PRODUCTIVE DATA SCIENCE LEARNING PROGRAM:
An effective data science program should balance some or all of the following, an Interdisciplinary learning approach, industrial curriculum, data science advancement, and enabling technologies such as Databricks, Google Cloud, AWS, SAP (Business Process), and other relevant technologies.
I am sharing our benchmarked and proven interdisciplinary data science curriculum, which is currently taught to 500+ data scientists and transforms learners into employable resources at the end.
Democratizing Intelligence - Sri Ambati, CEO & Co-Founder, H2O.aiSri Ambati
Presented at #H2OWorld 2017 in Mountain View, CA.
Enjoy the video: https://youtu.be/ZrlJQqNaSMI.
Learn more about H2O.ai: https://www.h2o.ai/.
Follow @h2oai: https://www.twitter.com/h2oai.
Data Science at LinkedIn - Data-Driven Products & InsightsYael Garten
Talk given at Big Boulder conference hosted by Gnip in Boulder, Colorodo on June 21, 2012. This talk provides an intro to Data Science at LinkedIn, and highlights the type of roles a Data Science team can play at a data-driven company. We use data (1) to create products that truly serve our members, (2) to derive insights, and (3) to generate wisdom which enables us to take the products and company to the next level. LinkedIn's data on 160+ million professionals' careers and networks provides a fascinating playground for data scientists to discover data insights about career trends, the social web and the economy.
This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.
Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start.
About Parul Pandey:
Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.
AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...Sri Ambati
In this session, you will learn about what you should do after you’ve taken an AI transformation baseline. Over the span of this session, we will discuss the next steps in moving toward AI readiness through alignment of talent and tools to drive successful adoption and continuous use within an organization.
To find additional videos on AI courses, earn badges, join the courses at H2O.ai Learning Center: https://training.h2o.ai/products/ai-foundations-course
To find the Youtube video about this presentation: https://youtu.be/K1Cl3x3rd8g
Speaker:
Chemere Davis (H2O.ai - Senior Data Scientist Training Specialist)
Telangana State Faculty Transformation Program: Interdisciplinary Workshop i...Jothi Periasamy
Objectives
Readiness and Awareness: To provide a deep understanding of applied artificial intelligence and its real-world applications and in what form AI is used in the industry.
Strategy and Roadmap: To review how artificial intelligence reinvents education and discuss the strategy and roadmap of future education.
Introduction & Hands-on with H2O Driverless AISri Ambati
These slides were presented by Marios Michailids and John Spooner at Dive into H2O: London on June 17, 2019.
Marios's session can be found here: https://youtu.be/GMtgT-3hENY
John's session can be found here: https://youtu.be/5t2zw4bVfsw
Vertical is the New Horizontal - MinneAnalytics 2016 Sri Ambati Keynote on AISri Ambati
Data is the only vertical, Machine Learning, bigdata, artificial intelligence
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
IC-SDV 2019: The Economics of Artificial Intelligence and Machine Learning fo...Dr. Haxel Consult
Decision points for when to implement automatic indexing or more intensive subject analysis
Machine learning and artificial intelligence approaches to automatic indexing and other aspects of content enrichment have tremendous potential, but there are significant barriers to successful implementations. The economics of these systems are not now generally affordable, which will indefinitely delay widespread adoption. Significant costs are involved in just the training and maintaining systems that chronically under perform and are fail to scale. Cost and performance data will be characterized and presented. Machine learning and artificial intelligence projects are not for the faint of heart, nor for those with small budgets. Key cost elements are identified along with approaches to estimating costs based on actual and reported cases.
AI Foundations Course Module 1 - An AI Transformation JourneySri Ambati
The chances of successfully implementing AI strategies within an organization significantly improve when you can recognize where your organization is on the maturity scale. Over this course, you will learn the keys to unlocking value with AI which include asking the right questions about the problems you are solving and ensuring you have the right cross-section of talent, tools, and resources. By the end of this module, you should be able to recognize where your organization is on the AI transformation spectrum and identify some strategies that can get you to the next stage in your journey.
To find additional videos on AI courses, earn badges, join the courses at H2O.ai Learning Center: https://training.h2o.ai/products/ai-foundations-course
To find the Youtube video about this presentation: https://youtu.be/PJgr2epM6qs
Speakers:
Chemere Davis (H2O.ai - Senior Data Scientist Training Specialist)
Ingrid Burton (H2O.ai - CMO)
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
What to learn during the 21 days Lockdown | EdurekaEdureka!
Register Here: https://resources.edureka.co/21-days-learning-plan-webinar/
In light of the complete national lockdown for 21 days, we invite you to join a FREE webinar by renowned Mentor and Advisor, Nitin Gupta as he helps you create a 21-day learning gameplan to maximize returns for your career.
The webinar will help freshers and experienced professionals to capitalize on these 21 days and figure out the best technologies to learn while confined to home.
You will also get all your questions and doubts resolved in real-time.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Meetup: https://www.meetup.com/edureka/
An AI Maturity Roadmap for Becoming a Data-Driven OrganizationDavid Solomon
The initial version of a maturity roadmap to help guide businesses when adopting AI technology into their workflow. IBM Watson Studio is referenced as an example of technology that can help in accelerating the adoption process.
#OSSPARIS19 - Overcoming open source challenges in reinforcement learning - W...Paris Open Source Summit
#IA Track - Practical applications
Reinforcement learning is a rapidly growing branch of artificial intelligence that has achieved super-human performance in board games such as Go and chess and video games such as Starcraft. Research papers and open code in this field are widely available.
However, unlike other fields of machine learning, open code and research has so far largely failed to translate into real world applications.
In this talk, we leverage the indust.ai team's experience in developing their own reinforcement learning activity to discuss the challenges involved. These include poor reproducibility, varying code quality, prohibitive computation and data requirements, the difference in mindset between traditional machine learning and reinforcement learning, and the difficulty of finding the skills required to transfer academic research to the real world. We will also present some of our approaches for overcoming these issues.
AI-SDV 2020: Can There Be Profitable Revenue from an AI Deployment? The Upsid...Dr. Haxel Consult
In the last twelve months AI activity has continued to accelerate. While there have been major setbacks in AI over the decades its recent up surge seems to be holding. Many positives stories are hitting the news, but is anyone actually making any money on AI deployments besides the big AI vendors? Have there been significant, meaningful cost reductions from AI deployments? Yes! Brief case studies will be presented from primary and secondary sources illustrating impacts on real world cost savings and revenue enhancements. As is always the case with real world projects there are lessons learned!
Carmelo Iaria, AI Academy - How The AI Academy is accelerating NLP projects w...Sri Ambati
This session was recorded in San Francisco on February 5th, 2019 and can be viewed here: https://youtu.be/aXPE6IiKRmI
The 2018 Brazilian Presidential Elections represented a tangible demonstration of radical change in the way candidates conduct their campaigns, as the shift from traditional media to social media hit the shore of the largest country in the southern hemisphere.
Analyzing the political agenda, the broadcast TV-based debates and exchange on social media networks was an NLP feast that The AI Academy reckoned was too good to pass. In this panel, we present the work we conducted , and will show how Driverless AI helped us accelerate our NLP experiments thanks to the recent introduction of advanced text analytics recipes.
Bio: Maker/Dreamer/Iconoclast/Chaordic Leader with over 20 years of experience across a number of high-tech industries around the world. Curiosity towards new technologies and the ability to adapt to different cultural and social environments has taken him from a research lab in Italy to a start up in Denmark, to a multinational technology company in Silicon Valley, and ultimately to a leading broadband and video service provider in Brazil. Time and again his career journey has demonstrated his ability to recognize at a very early stage high-potential disruptive ideas and the determination to transform an idea into a real product / service.
Over the past seven years, Carmelo cultivated his passion for innovation by leading major technology incubations at a large Telecom operator, supporting the Brazilian startup ecosystem as a Mentor at a startup accelerator and continuously extending his business and technology knowledge through a blend of formal learning & hands-on projects implementations. His focus over the past few years has been on Data Science and Artificial Intelligence, carrying out in-depth technology investigations, product incubations and solutions development.
By establishing The AI Academy, Carmelo intends to create and foster a rich environment for the study, research and application of Machine/Deep Learning techniques to real-life use cases, bridging the AI gap between talent and Enterprises - and furthermore elevating Brazil's "AIQ", inserting São Paulo on the world's AI Map.
Similar to Artificial Intelligence Beyond Theory & Concepts - Our AI Summer Academy Empowers Silicon Valley School Students to AI Innovation - Free Two Day Event
How DeepSphere.AI Transformed Fresh Graduates Into Data Scientists At Databri...HemaMaliniP5
DeepSphere.AI transformed students who could now become Data Scientists (At Databricks).
Click here ➡️ https://lnkd.in/gzfwdMev For extensive details about this benchmark study.
LET'S START WITH A PROVEN AND VERIFIABLE ACCOMPLISHMENT:
BACKGROUND:
To date, we have not seen a benchmark study on the effectiveness of a data science program.
In this article, we provide enough details based on our teaching and some of the large-scale data science industry projects we are working on with Google and the AWS team. Many data science programs are offered in the market, from big brand names to small educational institutions. Still, we are unsure which one to enroll in and which may be the best choice to achieve my goals and objectives.
WHAT DO WE SEE IN THE MARKET:
We have several conceptual data science programs taught by academically well-qualified professionals without industry implementation exposure. We may also see another extreme, a data science program filled with python programs and taught by technical experts.
We need a balanced curriculum where the learner can learn both concepts and technology, which should be guided by someone who has successfully implemented one or two data science projects for real industry clients at a production scale. The modern data science curriculum should teach beyond use case development and Python syntax.
A BENCHMARK STUDY FOR HIGHLY PRODUCTIVE DATA SCIENCE LEARNING:
We conducted this benchmark study with 500+ students studying data science in the bachelor's program and 243+ teachers teaching data science.
500+ DATA SCIENTISTS: Our six semesters bachelor's in data science program is offered at SRM university. The study focused on transforming students into employable data scientists with industry skills. Around 500+ students are studying across all campuses and semesters.
243+ DATA SCIENCE TEACHERS: HODs, professors, assistant professors, research scholars, and management staff from 110 universities and colleges provided feedback both in quantitative and qualitative formats. Approximately 243 teachers participated in this benchmark and shared their views on our data science program advancement. Here is the participant's profile.
PhDs: 63
Professors: 09
Assistant Professors: 55
Associate Professors: 34
Research Scholars: 11
WHAT DO YOU NEED TO LOOK FOR IN AN EFFECTIVE AND PRODUCTIVE DATA SCIENCE LEARNING PROGRAM:
An effective data science program should balance some or all of the following, an Interdisciplinary learning approach, industrial curriculum, data science advancement, and enabling technologies such as Databricks, Google Cloud, AWS, SAP (Business Process), and other relevant technologies.
I am sharing our benchmarked and proven interdisciplinary data science curriculum, which is currently taught to 500+ data scientists and transforms learners into employable resources at the end.
Pink Elephant will be the host of PinkDATA18 on May 10th in Singapore. In this presentation you can find all the information required to become a speaker at our event.
Ai revolution for human capital for individuals 2nd feb 2018Liew Wei Da Andrew
The world is crazy about Artificial Intelligence (AI). Whether you are for it or against it – there’s no doubt that AI will change our lives. To educate ourselves about AI, some questions which we should ask are:
Is AI an assistive tool or a substitutive tool?
What are the life hacks for an individual to adapt to this new world?
What are the possibilities for the individuals in the world of AI?
This talk will reveal facts and possibilities about AI to create hope and awareness for the society that we live in. There's no time for ignorance. Have the courage to find out and learn.
Course - Machine Learning Basics with R Persontyle
This course is meant to be a fast-paced, hands-on introduction to Machine Learning using R. The course will be focusing mainly on basics of Machine Learning methods and practical implementation of these methods to solve real-world problems. This course aims to develop basic understanding of supervised learning methods, through the use of the R programming platform. It describes the different types of learning and the two main categories of their applications: Classification and Regression.
For corporate bookings or to organize on-site training email hello@persontyle.comor call now +44 (0)20 3239 3141
www.persontyle.com
AI-SDV 2020 Conference and exhibition is planned to be held at the Hotel Aston la Scala at the same time physically and virtually. Speakers, attendees and exhibitors are invited to join physically or virtually. We are currently developing a range of digital formats that respond precisely to the speakers, attendees and exhibitors needs, enabling individuals and exhibitors from AI industry and related sectors worldwide to participate in the AI-SDV 2020 in Nice.
Due to rapidly changing developments, it is essential that the overall situation be reviewed on an ongoing basis and any measures taken are updated to reflect the evolving legal requirements.
The Artificial Intelligence Conference on Search, Data and Text Mining, Analytics and Visualization.
The 2020 AI-SDV Conference in Nice, 5. - 6. October 2020
2020 Analytics and Visualization Meeting (Presented by VantagePoint), 6. and 7. October 2020
AI-SDV 2020 is the place to be for everyone involved in advanced search and data applications, text mining and visualization technology. Individuals and companies that are shaping the future of this exciting space that surrounds us and impacts us all will present their latest research findings, tech developments and vision for the future.
It’s a full-on two days of learning, networking and exploring technologies and concepts that are now and will continue to change way we as individuals and organisations work, rest and play. The focus is Artificial Intelligence (AI), Digitization 2.0 (about making companies, processes and people ready for AI), Deep Learning and other topics identified by our community, who are specialists working in scientific and technical information.
The event features around 22 speakers over two days, plus an exhibition to complement the conference programme.
In 2020, based on attendee feedback, we are combining all the concepts the ICIC and II-SDV-Meetings in this one event in Nice.
As past attendees tell us, it’s a fabulous location and, beyond the formal meetings taking place in the conference and exhibition space, we make the most of this gorgeous location for informal evening receptions under the stars and networking dinners.
The size of the group makes it perfect for individuals from all sides of the information and tech space to meet and spend time together formally and also socially.
According to our exhibitors and attendees, the size of the event, the beautiful location and mix of people is why they return year after year. It’s where they learn, stay on top of developments, meet peers, find new collaboration opportunities and do business.
That’s why they return – and we hope you will join us too in 2020 and contribute to our programme as an attendee, speaker or exhibitor – and we look forward to welcoming you.
This document offers an overview of the 6-month ZIGRAM internship program which is meant for those candidates and individuals who wish to get aligned and trained in Data Assets related skills and technologies.
How can AI & Automation make your business processes intelligentMindfields Global
Enterprises gain a deeper understanding of their processes as they progress further into their automation journey. Exploring the connection between AI, automation and understanding how these technologies help make your business processes intelligent is a necessary next step.
Artificial intelligence (AI), also known as machine intelligence, is an aspect of computer science that deals will the designing of intelligent mechanical systems that work and react like humans. AI incorporates information from everything ranging from Google search algorithms to machinal processes. From SIRI to self-driving cars, everything is the outcome of artificial intelligence, which is rapidly progressing and taking over our human lives.
Answer to the most commonly used terminology Data Science with their areas of crucial roles in solving issues with case studies.
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Program Management Internship ZIGRAM Feb 2020ZIGRAM
We are looking for Program Management Interns, who can take up and lead short term 3-month projects in various areas such as Digital Marketing, Community Development, Market Research, Product Development, etc.
Data Science and Artificial Intelligence course offered by Securium Academy ...Securium Academy
Explore the realms of data analysis, machine learning, and more with our comprehensive Data Science course. Elevate your skills, harness the potential of data, and pave the way for a data-driven future. Join us to embark on a transformative journey in the world of Data Science
visit: https://www.securiumacademy.com/data-science-certification-training/
Project Report Format for Final Year Engineering Studentscutericha10
Project report is a written evidence of tasks, processes and activities that are undertaken and accomplished by the students while pursuing their projects and implementing it.
This report is an official document that reflects precise and concrete information about the different aspects of the project ranging from the overview, requirements, practical aspects, theoretical considerations, tasks furnished, outcomes gained, objectives listed, reports attached, abstracts, experiments and results, conclusions and recommendations to the implementation and scope of the project.
Similar to Artificial Intelligence Beyond Theory & Concepts - Our AI Summer Academy Empowers Silicon Valley School Students to AI Innovation - Free Two Day Event (20)
Objective: This is my first attempt to bring practical business insights on SAP’s Cloud for Analytics (C4A) platform and also demonstrating the key implementation steps to deploy analytics on cloud from concept to realization.
Goal: Empower mainstream enterprise users to develop self-servicing analytics, planning, budgeting & forecasting solutions on cloud using SAP BusinessObjects Cloud Computing Platform.
Vision: Make business to quickly realize the measurable business values of SAP BusinessObjects Cloud
Simplify SAP BusinessObjects Cloud Implementation
Reduce the Implementation Cost of SAP BusinessObjects Cloud Implementation
Make SAP BusinessObjects Cloud Implementation Processes as a Repeatable Processes
What would be the Best and Risk Free Path to Implement and Adopt Analytics on Cloud?
Cloud for Analytics is an evolving area, so the first step in implementing cloud for analytics would be learning the fundamentals and understanding the key concepts, framework, architecture and building blocks of cloud for analytics solution. The following section describes the required key steps to implement and adopt SAP's cloud for analytics solutions.
1. Molder2. Allocation3. Stories4. Digital Boardroom 5. Files6. Events7. Users8. Deployment9. Connection10. System
SAP S/4 HANA - SAP sFIN (Simple Finance) - Financial Reporting and Advanced A...Jothi Periasamy
Objectives:
In this webinar, we will be demonstrating the key capabilities of SAP S/4 HANA, including
SAP S/4 HANA - Solution Scope, Implementation Business Scenarios, Business Benefits
SAP sFIN - Universal Journals, Business Values, Financial Reporting and Analytics Simplified
Review Sierra’s SAP S/4 SAP HANA Pre-Packaged Industry Solutions
Readily Deployable Solution (RDS) for Simplifying and Accelerating Financial Reporting and Analytics
Watch Our Live Demo, and Learn The Steps to Deeply Analyze Financials in Real-time
Income Statement
Profit and Loss
Balance Sheet
Cash Flow
Trial Balance
Product Gross Margin
Predictive Analytics
Trend Analysis
Data Visualization
Interactive Analysis
Data Discovery
Variance Analysis
Enterprise data science - What it takes to build?Jothi Periasamy
Enterprise data science is not just creating dashboard, reports, ad-hoc query, models and/or algorithms, it’s beyond all - Take a look at our approach to enterprise data sciences, it’ very complex and it’s very difficult to implement as it’s involved integrating data across enterprise business function regardless of data source, format and structure
There are many instances where people talk about enterprise data sciences (Oracle 12C, HADOOP, SAP) but “have you seen enterprise data sciences in a real system as a live demo”, in most cases the answers is “no” but now there is an opportunity to review enterprise data sciences with CloneSkills.
I would say confidently say that there is no one in the world who integrated “Oracle 12C” and SAP HANA with HADOOP for real-time data integration except CloneSkills technical architect Mr. Karthik
SAP BPC on HANA EPM Report Developer Guide - Part #1 - v9Jothi Periasamy
Overview:
Dynamic formatting is defined in a dedicated sheet. A specific format (such as font, colour, or size) can be defined for levels of a hierarchy, types of members, odd/even rows or columns and page axis dimensions. We can define specific dynamic formatting in a template to apply to sheets or reports. Since the EPM Formatting Sheet is an excel sheet, it can be copied and changed to be applied to other reports, worksheets.
● A blank template sheet is provided with the add-in. You can specify the formatting you want in this sheet.
● For Planning and Consolidation connections, two pre-defined templates are provided. You can create additional template sheets by copying the default sheet as you would copy a standard Microsoft Office Excel worksheet. EPM Formatting Sheet can be used to format your Reports and Input Forms. There are various options for formatting.
You can do simple formatting, lock the cells that are not input ready, use the format by property using multiple criteria, or use a new cell-based formula delivered with the EPM add-in to override the data range formatting.
In-Memory Analytics - SAP Big Data - Analytics Tools Selection - SAP HANA & ...Jothi Periasamy
Objective
Review SAP In-Memory Analytics Solutions
Understand SAP In-Memory Analytics Technologies
Learn Which SAP In-Memory Analytics Technology Best Fits Your Business
Tool Capabilities
Support For Big Data
Use Cases
_____________________________
Executive View
SAP In-Memory Analytics Solutions
SAP In-Memory Analytics Technologies
Key Capabilities
Deployment and Delivery Options
Use Cases
Key Takeaways
Contact Experts
Appendix
Business Value Proposition
Technical Landscape
Analyzing Financial Statements (FS) Through SAP BOBI 4.0 - a “SAP HANA” enabl...Jothi Periasamy
To understand the essentials of financial statements, including
Balance Sheet
Income Statement
Cash Flow
To understand the data sources of a given finical statement in a SAP system environment
To understand the structure and layout of a finical statements
To understand the structure calculations and formulas that are used while generating a finical statement
Goals
Analyze , Design and Implement Dimensions and Measures ( KPI) for a finical statement
Dimension modeling
KPI modeling
Analyze, Design and Implement Data Model for a finical statement
Classic Star Schema
SAP BW Extended Star Schema
Analyze, Design and Implement Layout and Mockup, Calculations for a finical statement
Clone skills,inc. sap bpc on hana data modeling v9 11282013Jothi Periasamy
The purpose of this article is to provide adequate instruction to implement any complex SAP HANA data model. Users will learn various building blocks that are required to implement any SAP HANA data model.
SAP HANA data model is not just creating an attribute view, analytical view and calculation view, and also it is not a technical implementation, it is an “Art”. SAP HANA data model is the foundation for any SAP HANA enabled business transformation initiatives.
SAP HANA data model and data architecture should be driven from business process and the model should fully leverage SAP HANA’s in memory computing power and also the build in out of the box SAP HANA functionality such as stored procedures, functions, database triggers, hierarchies, calculated measures, restricted measures, calculated attributes, dynamic currency conversions, input parameters, and much more. Consider all of these key capabilities of SAP HANA while transforming business problems into a SAP HANA enabled solutions.
In this document we are explaining the objective of each data model building block, and also its implementation steps. Users should be able to follow this guide and implement any SAP HANA data model.
SAP HANA enabled EPM and BI solutions
SAP BPC integrated financial planning with the power of in-memory computing
Predictive analytics
Financial predictive
Healthcare predictive
Advanced analytics
Smart Grid
etc
1.1. SAP HANA Data Model Key Building Blocks
Attribute view
Analytical view
Calculation view through scripts
Stored procedure
Functions
Database triggers
Variables
Input parameters
Hierarchy
Decision tables
Dynamic currency conversion
Data Import
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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