Intro to Artificial Intelligence w/ Target's Director of PMProduct School
Given that Machine Learning (ML) is on every product enthusiast’s mind, this talk gave a broad view of the investment landscape for future innovation. Director of Product Management at Target, Aarthi Srinivasan, talked about macro AI themes & trends, how you can build your AI team and how to create a ML backed product vision.
Additionally, this talk armed the attendees with enough information to create your Point of View (POV) on how to incorporate AI into your business.
Building User-Centric and Responsible Generative AI ProductsAggregage
https://www.productmanagementtoday.com/frs/24832811/building-user-centric-and-responsible-generative-ai-products/email
In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. These products, with their unique capabilities, bring fresh opportunities and challenges that demand a fresh approach to product management.
This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products. The framework offers a systematic approach to understanding target users and their AI readiness, defining user problems and opportunities, ideating with AI's unique capabilities, validating assumptions, building user-centric and responsible AI products, measuring success, and scaling optimally.
Key learning objectives:
• Gain a deep understanding of Generative AI product characteristics and their relevance in today’s rapidly evolving landscape
• Discover a comprehensive 7-step framework for developing, launching, and scaling Generative AI products, including user-centric and responsible approaches
• Learn how to identify target users and asses their AI readiness, ensuring a more tailored and effective product strategy
• Acquire key product principles specific to Generative AI, enabling the creation of products that deliver value, engagement, and ethical considerations
• Develop the skills and knowledge needed to navigate the unique opportunities and challenges presented by Generative AI, ultimately empowering product managers to harness its transformative potential for success
"As a requirements analyst I often hear 'Oh we don't do specifications, we do Scrum!' Although fewer specs are needed in a true Scrum environment with an experienced team, this doesn't mean specs can be eliminated altogether. A new balance needs to be found. This presentation elaborates on this discussion and gives you hands-on tips for working with specifications in a Scrum environment.
Subjects covered:
- What can we consider as specifications
- Why is it important to specify in a Scrum environment?
- How much should be specified?
- When in the process do we make and use specs?
- How to specify?"
HacktoberFestPune - DSC MESCOE x DSC PVGCOETTanyaRaina3
HacktoberFestPune is a beginner-friendly, all-inclusive event that is absolutely free of cost. Certificates will be issued by DSC MESCOE and DSC PVGCOET for everyone who can complete 4 successful Pull Requests by 13th October 10 AM! An evening filled with speaker sessions, interactions with fellow developers, and mini-games, we think you'll have a great time with everyone!
Salesforce Architect Group, Frederick, United States July 2023 - Generative A...NadinaLisbon1
Joined our community-led event to dive into the world of Artificial Intelligence (AI)! Whether you were just starting your AI journey or already familiar with its concepts, one thing was certain: AI was reshaping the future of work. This enablement session was your chance to level up your skills and stay ahead in that rapidly evolving landscape.
As AI news continues to dominate headlines, it's natural to have questions and concerns about its impact on our lives. Will AI take over human jobs? Will it render us obsolete? Rest assured, the outlook is far brighter than you may think. Rather than replacing humans, AI is designed to enhance our capabilities and work alongside us. It won't be replacing marketers, service representatives, or salespeople—it will be empowering them to achieve even greater results. Companies across industries recognize this potential and are embracing AI to unlock new levels of performance.
During this enablement session, you'll have the opportunity to explore how AI advancements can positively influence your professional journey and daily life. We'll debunk common misconceptions, address fears, and showcase real-world examples of how successful AI implementation leads to workforce augmentation rather than replacement. Be prepared to gain valuable insights and practical knowledge that will help you navigate the AI landscape with confidence.
Marketers can learn from software developers to harness—rather than struggle against—the dynamics of a digital world.
Scott Brinker says of Hacking Marketing, “My goal was to help marketers at all levels—even those with no technical background or inclination—adapt marketing management to the wild and wonderful whirlwind of a world now dominated by software.”
“When you realize that marketers are now paddling water up to their chins in websites (software), analytics (software), social media (software), marketing automation (software), interactive content (software), mobile apps (software), and so on, it starts to seem obvious. Software has eaten the world—and marketing too.”
“To effectively harness the digital forces of software, we must not only innovate what we produce in marketing, but innovate how we produce it too.”
“It’s time to rethink marketing management for a software-powered world.”
Learn how in this presentation by Scott Brinker @chiefmartec
Intro to Artificial Intelligence w/ Target's Director of PMProduct School
Given that Machine Learning (ML) is on every product enthusiast’s mind, this talk gave a broad view of the investment landscape for future innovation. Director of Product Management at Target, Aarthi Srinivasan, talked about macro AI themes & trends, how you can build your AI team and how to create a ML backed product vision.
Additionally, this talk armed the attendees with enough information to create your Point of View (POV) on how to incorporate AI into your business.
Building User-Centric and Responsible Generative AI ProductsAggregage
https://www.productmanagementtoday.com/frs/24832811/building-user-centric-and-responsible-generative-ai-products/email
In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. These products, with their unique capabilities, bring fresh opportunities and challenges that demand a fresh approach to product management.
This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products. The framework offers a systematic approach to understanding target users and their AI readiness, defining user problems and opportunities, ideating with AI's unique capabilities, validating assumptions, building user-centric and responsible AI products, measuring success, and scaling optimally.
Key learning objectives:
• Gain a deep understanding of Generative AI product characteristics and their relevance in today’s rapidly evolving landscape
• Discover a comprehensive 7-step framework for developing, launching, and scaling Generative AI products, including user-centric and responsible approaches
• Learn how to identify target users and asses their AI readiness, ensuring a more tailored and effective product strategy
• Acquire key product principles specific to Generative AI, enabling the creation of products that deliver value, engagement, and ethical considerations
• Develop the skills and knowledge needed to navigate the unique opportunities and challenges presented by Generative AI, ultimately empowering product managers to harness its transformative potential for success
"As a requirements analyst I often hear 'Oh we don't do specifications, we do Scrum!' Although fewer specs are needed in a true Scrum environment with an experienced team, this doesn't mean specs can be eliminated altogether. A new balance needs to be found. This presentation elaborates on this discussion and gives you hands-on tips for working with specifications in a Scrum environment.
Subjects covered:
- What can we consider as specifications
- Why is it important to specify in a Scrum environment?
- How much should be specified?
- When in the process do we make and use specs?
- How to specify?"
HacktoberFestPune - DSC MESCOE x DSC PVGCOETTanyaRaina3
HacktoberFestPune is a beginner-friendly, all-inclusive event that is absolutely free of cost. Certificates will be issued by DSC MESCOE and DSC PVGCOET for everyone who can complete 4 successful Pull Requests by 13th October 10 AM! An evening filled with speaker sessions, interactions with fellow developers, and mini-games, we think you'll have a great time with everyone!
Salesforce Architect Group, Frederick, United States July 2023 - Generative A...NadinaLisbon1
Joined our community-led event to dive into the world of Artificial Intelligence (AI)! Whether you were just starting your AI journey or already familiar with its concepts, one thing was certain: AI was reshaping the future of work. This enablement session was your chance to level up your skills and stay ahead in that rapidly evolving landscape.
As AI news continues to dominate headlines, it's natural to have questions and concerns about its impact on our lives. Will AI take over human jobs? Will it render us obsolete? Rest assured, the outlook is far brighter than you may think. Rather than replacing humans, AI is designed to enhance our capabilities and work alongside us. It won't be replacing marketers, service representatives, or salespeople—it will be empowering them to achieve even greater results. Companies across industries recognize this potential and are embracing AI to unlock new levels of performance.
During this enablement session, you'll have the opportunity to explore how AI advancements can positively influence your professional journey and daily life. We'll debunk common misconceptions, address fears, and showcase real-world examples of how successful AI implementation leads to workforce augmentation rather than replacement. Be prepared to gain valuable insights and practical knowledge that will help you navigate the AI landscape with confidence.
Marketers can learn from software developers to harness—rather than struggle against—the dynamics of a digital world.
Scott Brinker says of Hacking Marketing, “My goal was to help marketers at all levels—even those with no technical background or inclination—adapt marketing management to the wild and wonderful whirlwind of a world now dominated by software.”
“When you realize that marketers are now paddling water up to their chins in websites (software), analytics (software), social media (software), marketing automation (software), interactive content (software), mobile apps (software), and so on, it starts to seem obvious. Software has eaten the world—and marketing too.”
“To effectively harness the digital forces of software, we must not only innovate what we produce in marketing, but innovate how we produce it too.”
“It’s time to rethink marketing management for a software-powered world.”
Learn how in this presentation by Scott Brinker @chiefmartec
Understanding What’s Possible: Getting Business Value from Big Data QuicklyInside Analysis
The Briefing Room with David Loshin and OpenText
Live Webcast April 14, 2015
https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=e079dc562543a394c5c5d0588e7cd9152
To be successful and practical in delivering meaningful insights, companies must embrace the three pillars of enterprise analytics: scalability, open standards, and speed to value. In doing so, organizations enable a range of options that can satisfy both data scientists and self-service business users alike. But getting there requires a thoughtful approach -- and some enterprise knowledge of statistical modeling. How can your company stay ahead of the game?
Register for this episode of The Briefing Room to learn from veteran Analyst David Loshin, as he explains why the fundamentals will always apply to the high-stakes game of analytics. He’ll be briefed by Allen Bonde of Actuate, now part of OpenText, who will showcase his company’s intelligence platform, which was designed from the ground up to embrace open standards and was purpose-built to serve large enterprises with a wide range of data needs. He'll demonstrate recent success stories using a number of Big Data sources, including device and machine data.
Visit InsideAnalysis.com for more information.
As a requirements analyst I often hear 'Oh we don't do specifications, we do Scrum!' Although fewer specs are needed in a true Scrum environment with an experienced team, this doesn't mean specs can be eliminated altogether. A new balance needs to be found. This presentation elaborates on this discussion and gives you hands-on tips for working with specifications in a Scrum environment.
Agile Data Science is a lean methodology that is adopted from Agile Software Development. At the core it centers around people, interactions, and building minimally viable products to ship fast and often to solicit customer feedback. In this presentation, I describe how this work was done in the past with examples. Get started today with our help by visiting http://www.alpinenow.com
Chasing Innovation: Exploring the Thrilling World of Prompt Engineering JobsFredReynolds2
Innovation has emerged as the driving force behind technological achievements and societal growth. Prompt engineering jobs, which their dynamic and advanced characteristics can identify, lead the way in this wave of innovation. Prompt engineering has become an important subject supporting productivity, efficiency, and problem-solving across various sectors in the quickly changing world of technology and innovation.
Optimizing Organizational Knowledge With Project Cortex & The Microsoft Digit...Richard Harbridge
Today, organizations can go beyond the intranet and connect people to interactive expertise within the organization and personalized insight through an integrated suite of Microsoft 365 applications.
Based on significant improvements in artificial intelligence (AI), real behavior-based data based on the Microsoft Graph and Azure innovation such as improved language understanding, organizations today can provide contextual and dynamic topic cards, expertise mapping, pages, topic centers, and more. Powered by image tagging, form processing, document understanding, and machine teaching; organization content and documents are optimized for better compliance, processing, and discovery.
Join LiveTiles, along with Richard Harbridge, a Microsoft MVP and internationally recognized expert on Microsoft 365 and the Digital Workplace, who will share:
Best practices on modern knowledge management
How the continued innovation from Microsoft can be best reconciled with enterprise intranet and digital workplace needs
Find the 'Unfindable' with TalentBin by Monster!monsterindia
In a skills-constrained environment, a company’s ability to find, attract, and access the right professional DNA is critical to success. TalentBin by Monster not only automates and streamlines the talent discovery process via automated site monitoring, interpretation and matching, but also simplifies and automates the recruiting workflow, allowing recruiters do more in less time.
Steve Maclaren - Robotics and AI in project management: The future:
The APM Scotland Branch have continued the face-to-face Branch Conference series with a full day event on 7 September 2023.
Considering our ever changing environment is a vital skill for a Project Manager as they bring together a wide range of knowledge and expertise to fulfil projects in an ever evolving world where data, artificial intelligence and sustainability all play an important part
Time series in financial domain: A deep learning approach
Agenda:
-----------
3:45pm - 4:00pm: Arrival & Networking
4:00pm - 4:15pm: News & Intro
4:15pm - 5:15pm: Time series in financial domain:
A deep learning approach
5:15pm - 5:30pm: Virtual Snack & Networking
About the main speaker:
---------------------------------
Christophe Pere, Chief Data Scientist (La Capitale Insurance)
"I have a Ph.D. in Astrophysics specializing in atmospheric characterization during which I was able to learn the basics of data mining. I then continued my journey through data science and AI in order to understand the principles of learning. I worked on the evaluation of automotive markets and the prediction of vehicle prices with time series and machine learning models. I then joined an institute specialized in autonomous vehicles, the objective was to be able to recreate the real world from sensor data on vehicles traveling in Europe. I finally moved to Canada in the insurance industry to develop an R&D team and work on research projects focused on NLP, time series, and graphs."
We see twice - or why the fly’s brain is better than our big brains when swapping is involved.
Vision came early in evolution; trilobites could see more than 500 million years ago. Yet, our understanding of visual processes is cortex-centric, a recent structure. Similarly, deep-neural network architectures are often loosely based on the visual cortex. One might ask: does a computerk really need to “consciously” see? In this presentation, I will share completely novel findings from brain implant data in rodents showing that there exists an evolutionary ancient brain region, the superior colliculus, that we share with mosquitos, fishes and birds, which can compute complex scenes and can even process categorical information. We will then discuss how we could use this fast acting, wide-reaching circuitry to come up with novel neural network architectures. These new networks could be useful for fast-acting machine-vision models with far reaching potential, such as for scene navigation.
Understanding What’s Possible: Getting Business Value from Big Data QuicklyInside Analysis
The Briefing Room with David Loshin and OpenText
Live Webcast April 14, 2015
https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=e079dc562543a394c5c5d0588e7cd9152
To be successful and practical in delivering meaningful insights, companies must embrace the three pillars of enterprise analytics: scalability, open standards, and speed to value. In doing so, organizations enable a range of options that can satisfy both data scientists and self-service business users alike. But getting there requires a thoughtful approach -- and some enterprise knowledge of statistical modeling. How can your company stay ahead of the game?
Register for this episode of The Briefing Room to learn from veteran Analyst David Loshin, as he explains why the fundamentals will always apply to the high-stakes game of analytics. He’ll be briefed by Allen Bonde of Actuate, now part of OpenText, who will showcase his company’s intelligence platform, which was designed from the ground up to embrace open standards and was purpose-built to serve large enterprises with a wide range of data needs. He'll demonstrate recent success stories using a number of Big Data sources, including device and machine data.
Visit InsideAnalysis.com for more information.
As a requirements analyst I often hear 'Oh we don't do specifications, we do Scrum!' Although fewer specs are needed in a true Scrum environment with an experienced team, this doesn't mean specs can be eliminated altogether. A new balance needs to be found. This presentation elaborates on this discussion and gives you hands-on tips for working with specifications in a Scrum environment.
Agile Data Science is a lean methodology that is adopted from Agile Software Development. At the core it centers around people, interactions, and building minimally viable products to ship fast and often to solicit customer feedback. In this presentation, I describe how this work was done in the past with examples. Get started today with our help by visiting http://www.alpinenow.com
Chasing Innovation: Exploring the Thrilling World of Prompt Engineering JobsFredReynolds2
Innovation has emerged as the driving force behind technological achievements and societal growth. Prompt engineering jobs, which their dynamic and advanced characteristics can identify, lead the way in this wave of innovation. Prompt engineering has become an important subject supporting productivity, efficiency, and problem-solving across various sectors in the quickly changing world of technology and innovation.
Optimizing Organizational Knowledge With Project Cortex & The Microsoft Digit...Richard Harbridge
Today, organizations can go beyond the intranet and connect people to interactive expertise within the organization and personalized insight through an integrated suite of Microsoft 365 applications.
Based on significant improvements in artificial intelligence (AI), real behavior-based data based on the Microsoft Graph and Azure innovation such as improved language understanding, organizations today can provide contextual and dynamic topic cards, expertise mapping, pages, topic centers, and more. Powered by image tagging, form processing, document understanding, and machine teaching; organization content and documents are optimized for better compliance, processing, and discovery.
Join LiveTiles, along with Richard Harbridge, a Microsoft MVP and internationally recognized expert on Microsoft 365 and the Digital Workplace, who will share:
Best practices on modern knowledge management
How the continued innovation from Microsoft can be best reconciled with enterprise intranet and digital workplace needs
Find the 'Unfindable' with TalentBin by Monster!monsterindia
In a skills-constrained environment, a company’s ability to find, attract, and access the right professional DNA is critical to success. TalentBin by Monster not only automates and streamlines the talent discovery process via automated site monitoring, interpretation and matching, but also simplifies and automates the recruiting workflow, allowing recruiters do more in less time.
Steve Maclaren - Robotics and AI in project management: The future:
The APM Scotland Branch have continued the face-to-face Branch Conference series with a full day event on 7 September 2023.
Considering our ever changing environment is a vital skill for a Project Manager as they bring together a wide range of knowledge and expertise to fulfil projects in an ever evolving world where data, artificial intelligence and sustainability all play an important part
Time series in financial domain: A deep learning approach
Agenda:
-----------
3:45pm - 4:00pm: Arrival & Networking
4:00pm - 4:15pm: News & Intro
4:15pm - 5:15pm: Time series in financial domain:
A deep learning approach
5:15pm - 5:30pm: Virtual Snack & Networking
About the main speaker:
---------------------------------
Christophe Pere, Chief Data Scientist (La Capitale Insurance)
"I have a Ph.D. in Astrophysics specializing in atmospheric characterization during which I was able to learn the basics of data mining. I then continued my journey through data science and AI in order to understand the principles of learning. I worked on the evaluation of automotive markets and the prediction of vehicle prices with time series and machine learning models. I then joined an institute specialized in autonomous vehicles, the objective was to be able to recreate the real world from sensor data on vehicles traveling in Europe. I finally moved to Canada in the insurance industry to develop an R&D team and work on research projects focused on NLP, time series, and graphs."
We see twice - or why the fly’s brain is better than our big brains when swapping is involved.
Vision came early in evolution; trilobites could see more than 500 million years ago. Yet, our understanding of visual processes is cortex-centric, a recent structure. Similarly, deep-neural network architectures are often loosely based on the visual cortex. One might ask: does a computerk really need to “consciously” see? In this presentation, I will share completely novel findings from brain implant data in rodents showing that there exists an evolutionary ancient brain region, the superior colliculus, that we share with mosquitos, fishes and birds, which can compute complex scenes and can even process categorical information. We will then discuss how we could use this fast acting, wide-reaching circuitry to come up with novel neural network architectures. These new networks could be useful for fast-acting machine-vision models with far reaching potential, such as for scene navigation.
Tools using AI will affect and, in many cases, redefine most areas of societal impact such as medical practice and intervention, autonomous transportation and law enforcement. While so far, most of the focus and time is invested into optimizing models’ performance, whenever a single wrong prediction has big implications in terms of value or life, accuracy becomes less important than explainability.
In this talk, we will learn about explainable AI and we will see how to apply some of the available tools to answer the question ‘’what did my system consider in order to output a specific prediction’.
How can reinforcement learning help us fly balloons in the stratosphere?
This talk describes the use of reinforcement learning to create a high-performing flight controller for Loon superpressure balloons. The Google algorithm uses data augmentation and a self-correcting design to overcome the key technical challenge of reinforcement learning from imperfect data, which has proved to be a major obstacle to its application to physical systems.
Marc G. Bellemare, from the Google Brain team in Montreal, will present recent work, published in Nature, on using reinforcement learning to fly tennis-court-sized balloons in the stratosphere.
Agenda:
-----------
3:45pm - 4:00pm: Arrival & Networking
4:00pm - 4:15pm: News & Intro
4:15pm - 5:15pm: RL to fly balloons in the stratosphere
5:15pm - 5:30pm: Virtual Snack & Networking
Building a robust machine learning model is not an easy task. After all, most POCs don't make it into production. And even if they make it into production, you still need to monitor its performance.
How can you build performant, tolerant, stable, predictive models that have known and fair biases? How can you make sure your models yield their value over time and stay performant after your team has deployed them? What are the current practices of model validation (or lack of), how are they flawed, and how could we improve them?
Simon Dagenais from Snitch AI will go through the reasons behind using an efficient validation framework that goes beyond the common metrics used by ML practitioners and why these tests matter when building high-quality models.
Agenda:
-----------
3:45pm - 4:00pm: Arrival & Networking
4:00pm - 4:15pm: News & Intro
4:15pm - 5:15pm: How to QA your ML models
5:15pm - 5:30pm: Virtual Snack & Networking
About the main speaker:
---------------------------------
Simon Dagenais is the Lead Data Scientist at Snitch AI, a machine learning validation tool. Before working on Snitch AI, Simon was a data scientist consultant at Moov AI, the parent company of Snitch AI. During his time as a consultant, he built and deployed custom ML solutions to solve business needs at companies like DRW, Société de Transport de Montréal and Cogeco. He now aspires to solve problems that data science teams will encounter during the course of a ML project cycle. Simon obtained an M.Sc. in economics from HEC Montreal. He frequently speaks in conferences, panels and meetups.
Artificial intelligence (AI) is dramatically transforming the world of finance
Agenda:
6:15 - 6:45: Arrival, Snack & Networking
6:45 - 7:15 PM: News and DSDT Survey Results
7:15 – 8:00 PM: How AI is transforming the world of finance (Nick Vandewiele)
8:00 - 8:30 PM: Wrap-up, Snack & Networking
About the main speaker:
Nick Vandewiele, PhD is a data scientist in one of the big financial institutions in Montreal. His experience in AI in finance includes financial markets, investments, and credit risk modeling
Keras and Deep Learning
Agenda :
6:30 - 6:45 PM: News and Introduction
6:45 – 7:30 PM: Introduction to Keras
7:30 - 8:15 PM: A demo of Google Cloud ML Engine for Deep Learning
8:15 - 8:30 PM: Wrap-up
The Art of Data Visualization
Agenda:
6:00 - 6:15: Welcome
6:15 – 6:45: Guidelines for Data Visualization
6:45- 7:30 : Large-scale GPU-Accelerated Data Visualization with MapD
7:30 - 8:00: 1000+ Members Giveaway / Networking + Q&A
Special Event Meetup on Gamification
Agenda:
5:45 - 6:00: Welcome & Networking
6:00 - 6:15: News and Introduction
6:15 – 7:15: Studies in Gameful Interaction Design and Games User Research + Q&A
7:15 - 7:30: Networking
Innovation in Human-Machine Interaction
Agenda:
5:45 - 6:00: Welcome & Networking
6:00 - 6:15: News and Introduction
6:15 – 7:00: The value of applied research in human-system interaction in B2B environment
7:00 - 7:30: Panel: Review of new human-system interaction seen at CHI 2018
7:30 - 8:00: Networking
AI, Machine Learning, Deep Learning: Stop talking and start acting!
Agenda :
6:00 - 6:15 PM: Welcome & Networking
6:15 - 6:30 PM: News and Introduction
6:30 – 7:15 PM: How to Get Started With AI
7:15 - 8:00 PM: Commit Assistant – AI to predict and prevent bugs in Ubisoft’s code
8:00 - 8:30 PM: Networking
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
JMeter webinar - integration with InfluxDB and Grafana
DSDT Meetup March 2019
1. Data Science | Design | Technology
https://www.meetup.com/DSDTMTL
March 20
2019
2. Agenda
6:30 - 6:45 Intro & News
6:45 - 7:30 Text mining for content marketing
7:30 - 8:15 Conversational AI for brands
8:15 - 8:30: Wrap-up
2
Conversational AI & Text Mining
in Marketing
3. 3
A special thanks to our contributors…
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Thanks
Merci
&
venue
sponsor
& snacks
brains
7. 7
Ecosystem News
● March 26: Data-Driven Montreal - Advanced Retail Analytics
https://www.meetup.com/DataDrivenMTL/events/259578243/
● March 27: Beer, ETL, and Data Integration
https://www.meetup.com/DataDrivenMTL/events/259607783
● March 28: Docker Bday#6
https://www.meetup.com/Docker-Montreal/events/259762456
● April 10-11: World Summit AI - Americas (Montreal):
https://americas.worldsummit.ai/
8. 8
Conversational AI & Text Mining
Tom Wilson
“Internet-Scale Text Mining
for the Content Marketing
Industry"
Erdem Özcan
“Conversational AI for Brands”
30. Other applications of NLP within the platform:
• Named Entity Recognition
• Keyword Relevance Scoring
• 7-day keyword trending
predictions
• Industry Classification
• Topic Modelling x2
43. Beauty in the age of messaging - 2018 Consumers Survey -
44. SUPPORTCOMMERCEMARKETING
Conversational
display advertising
Alexa &
Google Home
Voice search to product
recommendation
Virtual sales
advisors
FAQ & Human
Handoff
Proprietary AI Capabilities Expert Delivery & Success TeamConversational Cloud Platform
G.R.A.C.E.
Guidance, Recommendation, Advice, Consultation, Expertise
We provide connected conversations,
throughout the customer journey
47. Beauty in the age of messaging - 2018 Consumers Survey - 47
65%prefer to be left alone in store
71%use mobile phones to do
research while in store
* Wakefield Research - May 2018
66%are overwhelmed and confused
by the number of products
Consumers need expert
advice and guidance both
online and offline
48. Investors - Advisors
Gary Clayton
Chief Creative Officer
Ron Croen
Founder/CEO
Amy Banse
Adobe Board Member
Tim O’Reilly
CEO/Author
Richard Socher
Chief Scientist
51. Virtual sales advisors are available 24/7 to chat with
your consumers and guide them to the best products,
in a fun and personalized way.
Messaging Artificial
Intelligence
+ =+
Product
Expertise
52. Virtual Sales Advisor for Skincare
• Understands a range of typed inputs related to user
preference and product categories.
• Only advises consumers on things they care about
• Consumers can interrupt with additional preferences
• Users can type instead of tap at any point
• Makes personalized recommendations, for the right
product category and user preference
• Ranks recommendations based on how well they fit the
user’s preferences
• Explains why a product makes sense for the user’s specific
preference to build consumers’ confidence
54. Fallacy #1:
Understanding text is about parsing intents and entities
A natural conversation is made of
multi-turn and multi-modal
interactions
55. Fallacy #2
You need ML scientists for building conversational applications
Designers and marketers understand consumer need, know how to talk/text and
should be empowered to build the conversational experiences
56. Fallacy #3:
You need big datasets to train your models
Conversational data isn’t readily accessible
Conversational AI is new
It’s not just about customer service
Academic datasets don’t scale to production
Solutions can’t rely on millions of high-quality conversations
Adapt your algorithms to small data
Leverage ontological models when suitable
58. Merci / Thank You
@DsdtMtl
Data Science | Design | Technology
(Check for next DSDT meetup at https://www.meetup.com/DSDTMTL)
http://bit.ly/dsdtmtl-in