The talk was given at OReilly Strata Data Conference September 2018 in NYC
All the conferences and thought leaders have been painting a vision of the businesses of the future being powered by data, but if we’re honest with ourselves, the vast majority of our massive data science investments are being deployed to PowerPoint or maybe a business dashboard. Productionizing your machine learning (ML) portfolio is the next big step on the path to ROI from AI.
You probably started out years ago on a “big data” initiative: You collected and cleaned your data and built data warehouses, and when those filled up you upgraded to data lakes. You hired data engineers and data scientists, and around the organization, everyone brushed up their SQL querying skills and got some licenses to Tableau and PowerBI.
Then you saw what Google, Uber, Facebook, and Amazon were doing with machine learning to automate business processes and customer interactions. To not get broadsided, you hired more data scientists and machine learning engineers. They were put on your teams and started using your big data investments to train models. But what you probably found is that your tech stack and DevOps processes don’t fit ML models. Unlike most of your systems, ML models require short spikes of massive compute; they are often written in different languages than your core code; they need different hardware to perform well; one model probably has applications across many teams; and the people making the models often don’t have the engineering experience to write production code but need to iterate faster than traditional engineers. Expecting your engineering and DevOps teams to deploy ML models well is like showing up to Seaworld with a giraffe since they are already handling large mammals.
There is a path forward. Almost five years ago Algorithmia launched a marketplace for models, functions, and algorithms. Today 65,000 developers are on the platform deploying 4,500 models—the result has been a layer of tools and best practices to make deploying ML models frictionless, scalable, and low maintenance. The company refers to it as the “AI layer.”
Drawing on this experience, Diego Oppenheimer covers the strategic and technical hurdles each company must overcome and the best practices developed while deploying over 4,000 ML models for 70,000 engineers.
Topics include:
Best practices for your organization
Continuous model deployment
Varying languages (Your code base probably isn’t in Python or R, but your ML models probably are.)
Managing your portfolio of ML models
Standardize versioning
Enabling models across your organization
Analytics on how and where models are being used
Maintaining auditability
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
Disney+ Hotstar provides on-demand video to more than 18.5 million paid subscribers and 300 million monthly active users. Hotstar's India Premier League (IPL) coverage in 2020 made it the most widely streamed sports events in the world to date. Learn why they chose Scylla Cloud to replace both Redis and Elasticsearch, and how they migrated their data with no downtime.
Advantages of Mainframe Replication With Hitachi VSPHitachi Vantara
Learn how Hitachi Virtual Storage Platform mainframe replication capabilities can address your business continuity and disaster recovery requirements. Also learn how Brocade switches and directors complement HDS mainframe replication capabilities and add value to HDS solutions. By viewing this webcast, you’ll learn: Trends driving changes to business continuity requirements, and how HDS replication products such as Hitachi Universal Replicator and hyperswap integration capabilities with Hitachi Business Continuity Manager are best positioned to address them. The key features and functions of Brocade FCIP switches and Fibre Channel/FICON director inter-data center connectivity that provide additional value to HDS replication solutions. Examples of how companies have implemented complete HDS solutions to solve their mainframe BC and DR needs. For more information on our mainframe solutions please read: http://www.hds.com/solutions/infrastructure/mainframe/?WT.ac=us_mg_sol_mnfr
Accelerating Path to Production for Generative AI-powered ApplicationsHostedbyConfluent
"In this session, we will discuss some recent developments in Generative AI and how those can be leveraged to build intelligent applications. Learn how to bring the power of large language models (LLMs) to your private, real-time operational data across multiple data types. We will talk about improving the accuracy of LLMs in your applications by leveraging Retrieval Augmented Generation, which provides proprietary knowledge to the LLM.
From real-time responses to sophisticated interactions, learn how you can easily build a range of AI-driven experiences that leverage your operational data with minimal complexity.
MongoDB Atlas provides native vector search capabilities and a flexible document model all within an enterprise-ready developer data platform empowering teams to iterate quickly on applications enriched with generative AI. Coupling Atlas with Confluent makes it easier to leverage streaming data when informing LLMs with proprietary data."
50k runs, millions of metrics, parameters or tags, some bursts at 20k QPS. That’s the volume of data managed by our MLflow tracking servers this year at Criteo. In this talk, you will learn how we set up a shared instance of MLflow at company scale. We will present our contributions to the SQLAlchemyStore to make it responsive at this scale. We will present you how we turned MLflow to a production-ready system. How we scaled horizontally a shared instance on a mesos cluster ? Our monitoring system based on prometheus. Integration to the company Single Sign-On (SSO) authentication. And how our data scientists register their runs from the largest hadoop cluster in Europe.
Episode 2: The LLM / GPT / AI Prompt / Data Engineer RoadmapAnant Corporation
In this episode we'll discuss the different flavors of prompt engineering in the LLM/GPT space. According to your skill level you should be able to pick up at any of the following:
Leveling up with GPT
1: Use ChatGPT / GPT Powered Apps
2: Become a Prompt Engineer on ChatGPT/GPT
3: Use GPT API with NoCode Automation, App Builders
4: Create Workflows to Automate Tasks with NoCode
5: Use GPT API with Code, make your own APIs
6: Create Workflows to Automate Tasks with Code
7: Use GPT API with your Data / a Framework
8: Use GPT API with your Data / a Framework to Make your own APIs
9: Create Workflows to Automate Tasks with your Data /a Framework
10: Use Another LLM API other than GPT (Cohere, HuggingFace)
11: Use open source LLM models on your computer
12: Finetune / Build your own models
Series: Using AI / ChatGPT at Work - GPT Automation
Are you a small business owner or web developer interested in leveraging the power of GPT (Generative Pretrained Transformer) technology to enhance your business processes?
If so, Join us for a series of events focused on using GPT in business. Whether you're a small business owner or a web developer, you'll learn how to leverage GPT to improve your workflow and provide better services to your customers.
The talk was given at OReilly Strata Data Conference September 2018 in NYC
All the conferences and thought leaders have been painting a vision of the businesses of the future being powered by data, but if we’re honest with ourselves, the vast majority of our massive data science investments are being deployed to PowerPoint or maybe a business dashboard. Productionizing your machine learning (ML) portfolio is the next big step on the path to ROI from AI.
You probably started out years ago on a “big data” initiative: You collected and cleaned your data and built data warehouses, and when those filled up you upgraded to data lakes. You hired data engineers and data scientists, and around the organization, everyone brushed up their SQL querying skills and got some licenses to Tableau and PowerBI.
Then you saw what Google, Uber, Facebook, and Amazon were doing with machine learning to automate business processes and customer interactions. To not get broadsided, you hired more data scientists and machine learning engineers. They were put on your teams and started using your big data investments to train models. But what you probably found is that your tech stack and DevOps processes don’t fit ML models. Unlike most of your systems, ML models require short spikes of massive compute; they are often written in different languages than your core code; they need different hardware to perform well; one model probably has applications across many teams; and the people making the models often don’t have the engineering experience to write production code but need to iterate faster than traditional engineers. Expecting your engineering and DevOps teams to deploy ML models well is like showing up to Seaworld with a giraffe since they are already handling large mammals.
There is a path forward. Almost five years ago Algorithmia launched a marketplace for models, functions, and algorithms. Today 65,000 developers are on the platform deploying 4,500 models—the result has been a layer of tools and best practices to make deploying ML models frictionless, scalable, and low maintenance. The company refers to it as the “AI layer.”
Drawing on this experience, Diego Oppenheimer covers the strategic and technical hurdles each company must overcome and the best practices developed while deploying over 4,000 ML models for 70,000 engineers.
Topics include:
Best practices for your organization
Continuous model deployment
Varying languages (Your code base probably isn’t in Python or R, but your ML models probably are.)
Managing your portfolio of ML models
Standardize versioning
Enabling models across your organization
Analytics on how and where models are being used
Maintaining auditability
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
Disney+ Hotstar provides on-demand video to more than 18.5 million paid subscribers and 300 million monthly active users. Hotstar's India Premier League (IPL) coverage in 2020 made it the most widely streamed sports events in the world to date. Learn why they chose Scylla Cloud to replace both Redis and Elasticsearch, and how they migrated their data with no downtime.
Advantages of Mainframe Replication With Hitachi VSPHitachi Vantara
Learn how Hitachi Virtual Storage Platform mainframe replication capabilities can address your business continuity and disaster recovery requirements. Also learn how Brocade switches and directors complement HDS mainframe replication capabilities and add value to HDS solutions. By viewing this webcast, you’ll learn: Trends driving changes to business continuity requirements, and how HDS replication products such as Hitachi Universal Replicator and hyperswap integration capabilities with Hitachi Business Continuity Manager are best positioned to address them. The key features and functions of Brocade FCIP switches and Fibre Channel/FICON director inter-data center connectivity that provide additional value to HDS replication solutions. Examples of how companies have implemented complete HDS solutions to solve their mainframe BC and DR needs. For more information on our mainframe solutions please read: http://www.hds.com/solutions/infrastructure/mainframe/?WT.ac=us_mg_sol_mnfr
Accelerating Path to Production for Generative AI-powered ApplicationsHostedbyConfluent
"In this session, we will discuss some recent developments in Generative AI and how those can be leveraged to build intelligent applications. Learn how to bring the power of large language models (LLMs) to your private, real-time operational data across multiple data types. We will talk about improving the accuracy of LLMs in your applications by leveraging Retrieval Augmented Generation, which provides proprietary knowledge to the LLM.
From real-time responses to sophisticated interactions, learn how you can easily build a range of AI-driven experiences that leverage your operational data with minimal complexity.
MongoDB Atlas provides native vector search capabilities and a flexible document model all within an enterprise-ready developer data platform empowering teams to iterate quickly on applications enriched with generative AI. Coupling Atlas with Confluent makes it easier to leverage streaming data when informing LLMs with proprietary data."
50k runs, millions of metrics, parameters or tags, some bursts at 20k QPS. That’s the volume of data managed by our MLflow tracking servers this year at Criteo. In this talk, you will learn how we set up a shared instance of MLflow at company scale. We will present our contributions to the SQLAlchemyStore to make it responsive at this scale. We will present you how we turned MLflow to a production-ready system. How we scaled horizontally a shared instance on a mesos cluster ? Our monitoring system based on prometheus. Integration to the company Single Sign-On (SSO) authentication. And how our data scientists register their runs from the largest hadoop cluster in Europe.
Episode 2: The LLM / GPT / AI Prompt / Data Engineer RoadmapAnant Corporation
In this episode we'll discuss the different flavors of prompt engineering in the LLM/GPT space. According to your skill level you should be able to pick up at any of the following:
Leveling up with GPT
1: Use ChatGPT / GPT Powered Apps
2: Become a Prompt Engineer on ChatGPT/GPT
3: Use GPT API with NoCode Automation, App Builders
4: Create Workflows to Automate Tasks with NoCode
5: Use GPT API with Code, make your own APIs
6: Create Workflows to Automate Tasks with Code
7: Use GPT API with your Data / a Framework
8: Use GPT API with your Data / a Framework to Make your own APIs
9: Create Workflows to Automate Tasks with your Data /a Framework
10: Use Another LLM API other than GPT (Cohere, HuggingFace)
11: Use open source LLM models on your computer
12: Finetune / Build your own models
Series: Using AI / ChatGPT at Work - GPT Automation
Are you a small business owner or web developer interested in leveraging the power of GPT (Generative Pretrained Transformer) technology to enhance your business processes?
If so, Join us for a series of events focused on using GPT in business. Whether you're a small business owner or a web developer, you'll learn how to leverage GPT to improve your workflow and provide better services to your customers.
This course designed for quality related staff, to have a general idea on Quality and ISO 9001:2008 Quality Management System.
There is also a good part on process approach and documentation of Standard.
a short briefs for retraining of ISO9001:2008 Internal auditors
بعد از سالها یک بار دیگر این دوره را اجرا کردم البته با یک کم تغییرات بنیادی در انتقال مفاهیم بنیادی که در اسلایدها قابل بررسی است البته نسخه 2015 آن هم در راه است.
جهت آشنایی بیشتر کاربران محترمی که تمایل به مطالعه در خصوص ویرایش آخر استاندارد بین المللی ایزو9001 دارند این فایل اطلاعات کامل و مناسبی در اختیار قرار می دهد. در صورت وجود هر گونه سوال در خصوص پیاده سازی استانداردهای ایزو و سایر خومات مشاوره مدیریت می توانید به سایت شرکت فراکیفیت سیستم مراجعه نمایید. www.fara-system.com
www.instagram.com/farakeifiatsystem
Turkyie Automotive Industry opportunities for Iranian auto parts manufacturersReza Seifollahy
This presentation prepared and presented to explain the opportunities for Iranian auto part industry to cooperate and invest in manufacturing and relations in Turkey. The Iranian auto industry needs to have international alliances and Turkish business environment for automotive industry is one of the good choices in this respect. Data driven from international trade center trade map and OECD.
This presentation has been given in May 2023, with the title of Marketing in the age of communication focused on marketing communication strategies and marketing in the age of artificial intelligence.
Main source of data is derived from Harvard Business Review Special Issue Winter 2022.
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This course designed for quality related staff, to have a general idea on Quality and ISO 9001:2008 Quality Management System.
There is also a good part on process approach and documentation of Standard.
a short briefs for retraining of ISO9001:2008 Internal auditors
بعد از سالها یک بار دیگر این دوره را اجرا کردم البته با یک کم تغییرات بنیادی در انتقال مفاهیم بنیادی که در اسلایدها قابل بررسی است البته نسخه 2015 آن هم در راه است.
جهت آشنایی بیشتر کاربران محترمی که تمایل به مطالعه در خصوص ویرایش آخر استاندارد بین المللی ایزو9001 دارند این فایل اطلاعات کامل و مناسبی در اختیار قرار می دهد. در صورت وجود هر گونه سوال در خصوص پیاده سازی استانداردهای ایزو و سایر خومات مشاوره مدیریت می توانید به سایت شرکت فراکیفیت سیستم مراجعه نمایید. www.fara-system.com
www.instagram.com/farakeifiatsystem
Turkyie Automotive Industry opportunities for Iranian auto parts manufacturersReza Seifollahy
This presentation prepared and presented to explain the opportunities for Iranian auto part industry to cooperate and invest in manufacturing and relations in Turkey. The Iranian auto industry needs to have international alliances and Turkish business environment for automotive industry is one of the good choices in this respect. Data driven from international trade center trade map and OECD.
This presentation has been given in May 2023, with the title of Marketing in the age of communication focused on marketing communication strategies and marketing in the age of artificial intelligence.
Main source of data is derived from Harvard Business Review Special Issue Winter 2022.
More and more networking getting the most important skill for personal development and promotion. This online course designed to teach participants how to network and improved their networks.
In design of the course, several references such as Networking Pocketbook, and Harvard Business Review articles and Harvard Must reads used. There are also several movies and TV series introduced. LinkedIn as one of the best platforms for managers to expand their networks explained and several case studies discussed.
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Introducing several sources of information and examples for managers to increase their organization's resilience, be agile and prepare them for better decisions in turbulent times. The course is ready to presented on request.
During the course today's business environment characteristics discussed, and examples of how to cope the conditions presented.
One of the main concerns of International Negotiators is Business Etiquette around the world. In this presentation, some of the countries regarding their habits reviewed.
مذاکره کننده بین المللی باید با اصول آداب معاشرت تجاری آشنا باشد
در این ارائه، برخی از عادات تجار برخی از کشورها مظرح شده است
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This webinar focuses on one of the most important skills of sales people, Negotiation. Participants learn to prepare themselves for sales meetings, making a good impression, negotiation tactics for start, continue and end negotiation. 9 communication skills needed for negotiators, including dress codes and body language.
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Pricing products and services could be a nightmare for marketing and top managers. If you overprice, you lose customer, if you under price, you lose possible profit!
But what is the correct price? This workshop is about pricing techniques, it could be organize on your site and also online.
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The new ISO 10015:2019 standard published and very useful for organizations to use in their HRM and training departments, this one hour speech presented to training officers from various companies in Tehran in 18th January 2020 and the workshop for implementing ISO 10015:2019 is ready to organized by requests. Send request to: "training@S-Jconsultants.com
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ISO 10000 Series interrelations As per ISO 10001Reza Seifollahy
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Here you could find my latest personal CV in Persian/Farsi language. In case f need for English Version, I would be happy to send the latest one through email, my email address is r.seifollahy@gmail.com