Abstract:- Discussion of various applied cases of artificial intelligence solutions stemming from our venture work across verticals including consumer, financial and media.
DevOps at ING Analytics: combining data engineering with data operations - Gi...Codemotion
ING was one of the early adopters of the DevOps movement. Currently, there is a lot of expertise in the organization: way of working, tools, and HR are all catered for DevOps. In the Analytics area, these best practices were the basis of a modern and stable architecture where data engineers, operations, and data scientists work together with business people on daily basis. The technology stack includes Hadoop, Spark, Flink, Kafka, Cassandra, and several IBM tools. In the talk I’m going to share tools evolution, skills and processes in place. Touching in the second part two use-cases.
From Lagging to Lightspeed: AI for Project ManagersAggregage
Imagine a world where your project team's capabilities aren't bogged down by data gaps, administrative gruntwork, or simple code errors. Productivity would soar, creativity would flourish, and project teams could focus on working together, not working on the tech. This world isn't as much a fantasy as it is the future. Thanks to AI's emerging role in project management, we can finally restructure our teams to achieve more. Join our panel of thought leaders to learn where AI is taking us and how to get there.
Generalized B2B Machine Learning by Andrew WaageData Con LA
Abstract:- In this talk, we propose a generalized machine learning framework for e-commerce businesses. The framework is responsible for over 30 different user-level predictions including lifetime value, recommendations, churn predictions, engagement and lead scoring. These predictions provide a vital layer of intelligence for a digital marketer. Kinesis is used to capture browsing information from over 120M users across 100 companies (both in-app and web). A data processing and feature engineering layer is build on Apache Spark. These features provide inputs to predictive models for business applications. Different models each for Churn, Lifetime value, Product recommendation and search are written on Spark. These models can be plugged into any marketing campaign for any integrated e-commerce company leading to a generalized system. We finally present a monitoring system for machine learning called RS Sauron. This system provides more than 200 objective metrics measuring the health of predictive models, and depicts KPIs for model accuracy in a continual setting.
[WSO2Con EU 2017] Digital Architecture: A Reference Architecture for a Digita...WSO2
Enterprise architects, CTOs, and Chief Digital Officers (CDOs) are struggling to identify the correct digital architecture for their enterprise. In this slide deck, Asanka explores the business architecture as well as the technical architecture of an enterprise and the connection between them. He will share his experience to help you institute your digital architecture and build adaptive digital products and services for your consumers.
Humans are sentient. We perceive. We feel. We listen. The problem is the more you put together, the more we lose these capabilities. We get slower. The idea is, how we create a company that acts like a single organism, where we identify opportunities, and that allows us to work in a faster and exponential world world where development happens in months rather than years. Don't let digital transformation become a war of competitive attrition. You may need to invest in your future to change the game.
Cloud & Big Data - Digital Transformation in Banking Sutedjo Tjahjadi
Datacomm Cloud Business Overview
Making Indonesia 4.0
Digital Transformation in Banking Industry
Introduction to Cloud Computing
Big Data Analytics Introduction
Big Data Analytics Application in Banking
DevOps at ING Analytics: combining data engineering with data operations - Gi...Codemotion
ING was one of the early adopters of the DevOps movement. Currently, there is a lot of expertise in the organization: way of working, tools, and HR are all catered for DevOps. In the Analytics area, these best practices were the basis of a modern and stable architecture where data engineers, operations, and data scientists work together with business people on daily basis. The technology stack includes Hadoop, Spark, Flink, Kafka, Cassandra, and several IBM tools. In the talk I’m going to share tools evolution, skills and processes in place. Touching in the second part two use-cases.
From Lagging to Lightspeed: AI for Project ManagersAggregage
Imagine a world where your project team's capabilities aren't bogged down by data gaps, administrative gruntwork, or simple code errors. Productivity would soar, creativity would flourish, and project teams could focus on working together, not working on the tech. This world isn't as much a fantasy as it is the future. Thanks to AI's emerging role in project management, we can finally restructure our teams to achieve more. Join our panel of thought leaders to learn where AI is taking us and how to get there.
Generalized B2B Machine Learning by Andrew WaageData Con LA
Abstract:- In this talk, we propose a generalized machine learning framework for e-commerce businesses. The framework is responsible for over 30 different user-level predictions including lifetime value, recommendations, churn predictions, engagement and lead scoring. These predictions provide a vital layer of intelligence for a digital marketer. Kinesis is used to capture browsing information from over 120M users across 100 companies (both in-app and web). A data processing and feature engineering layer is build on Apache Spark. These features provide inputs to predictive models for business applications. Different models each for Churn, Lifetime value, Product recommendation and search are written on Spark. These models can be plugged into any marketing campaign for any integrated e-commerce company leading to a generalized system. We finally present a monitoring system for machine learning called RS Sauron. This system provides more than 200 objective metrics measuring the health of predictive models, and depicts KPIs for model accuracy in a continual setting.
[WSO2Con EU 2017] Digital Architecture: A Reference Architecture for a Digita...WSO2
Enterprise architects, CTOs, and Chief Digital Officers (CDOs) are struggling to identify the correct digital architecture for their enterprise. In this slide deck, Asanka explores the business architecture as well as the technical architecture of an enterprise and the connection between them. He will share his experience to help you institute your digital architecture and build adaptive digital products and services for your consumers.
Humans are sentient. We perceive. We feel. We listen. The problem is the more you put together, the more we lose these capabilities. We get slower. The idea is, how we create a company that acts like a single organism, where we identify opportunities, and that allows us to work in a faster and exponential world world where development happens in months rather than years. Don't let digital transformation become a war of competitive attrition. You may need to invest in your future to change the game.
Cloud & Big Data - Digital Transformation in Banking Sutedjo Tjahjadi
Datacomm Cloud Business Overview
Making Indonesia 4.0
Digital Transformation in Banking Industry
Introduction to Cloud Computing
Big Data Analytics Introduction
Big Data Analytics Application in Banking
Mange virksomheder og organisationer er i fuld gang med at realisere værdi gennem Internet of Things og lignende løsninger. Mulighederne er uanede - og i denne session glæder vi os til at give dig masser af konkrete eksempler og inspiration til, hvordan du kommer i gang.
Lars Bo Granath, produktchef, Microsoft
Microsoft Next 2014 - Insights session 2 - Turning data into a business advan...Microsoft
Microsoft Next 2014 - Insights session 2 - Turning data into a business advantage: Big Data. Small data. All data, v. Lars Bo Granath, Forretnings ansvarlig - Information Platform, Microsoft Danmark
This session is a continuation of “Apply MLOps at Scale” at Data+AI Summit Europe 2020 and “Automated Production Ready ML at Scale” at Spark AI Summit at Europe 2019. In this session you will learn how H&M is continuing to evolve and develop their AI platform in order to democratize and accelerate AI usage across the full H&M group, including speed to production, data abstraction, feature store, pipeline orchestration, etc.
Our existing reference architecture has been adapted by multiple product teams managing 100’s of models across the entire H&M value chain and enables data scientists to develop model in a highly interactive environment, enabling engineers to manage large scale model training and model serving pipeline with full traceability. The current evolution aims to both reduce the time to introduce new features to the market as well as the learning feedback loop by democratizing AI in the organisation and persistent focus on sound MLOps principles.
Digital transformation - Hvor er vi lige nu?Microsoft
Hvordan forankrer virksomheder digital transformation strategisk? Hvilke forretningseffekter forfølger og prioriterer de?
Hvilke udfordringer møder de, og hvordan adresserer de dem i praksis? Qvartz har gennemført en undersøgelse om digital transformation
blandt store virksomheder i Danmark og leverer et overblik over konklusionerne.
Thomas Holm Møller, Partner, Qvartz
I fremtiden må alle virksomheder og organisationer tænke og agere digitalt, hvis de vil udnytte teknologien til at skabe nye forretningsmuligheder.
Hør, hvordan Microsoft på verdensplan hjælper kunder på vej mod digital transformation.
Marianne Dahl Steensen, adm. direktør, Microsoft
Big Data Expo 2017 - Meer grip op outsourcingscontracten met data driven cust...Marc Lelijveld
Veel bedrijven doen het al, informatie verzamelen over de tevredenheid van klanten om dit vervolgens trots te delen met potentiele klanten en concurrenten. Heijmans en Centric zijn als eerste een outsourcing overeenkomst aangegaan waarbij de ouderwetse SLA overboord is gegooid en enkel wordt gestuurd op tevredenheid. Outsourcing contractueel op basis van 90% tevreden gebruiken in plaats van 90% uptime van systemen.
Om dit inzichtelijk te maken en de juiste sturing te kunnen geven zijn enkel de resultaten van enquêtes niet voldoende. Traditionele rapportages van SCOM, SCCM, AD, PRTG, Topdesk Servicenow, etc. geven niet de benodigde inzichten en je bent al snel zoekende in een overvloed aan data verspreid over verschillende bronnen.
Door koppelen van data krijg je inzicht in de processen en kun je deze verbeteren voor het bereiken van een hogere klanttevredenheid. Sebastiaan Boonstoppel en Marc Lelijveld vertellen en laten zien hoe organisaties dit kunnen realiseren.
How to Solve 4 Common Challenges of Legacy Information ManagementNuxeo
After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Many modern organizations find themselves at the same fork in the road: either continue down the path they’re on, applying band-aid after band-aid to outdated ECM systems, or choose a new path with a modern Content Services Platform.
Join Chris McLaughlin, CMO and CPO of Nuxeo, as he examines four common business challenges that these legacy ECM systems pose, and how they can be addressed with a more modern approach. He will share compelling stories from customers that have chosen a different path, and best practices for Information Management professionals to help them along their way.
You'll come away from the webinar understanding:
- Why ECM still poses business challenges
- How a platform-based approach can solve modern content challenges
- Strategies to avoid the risks of modernization by future-proofing your organizational infrastructure
Startup pitch presented by co-founder and CEO Jaco Els. Cubitic offers a predictive analytics platform that allows developers to build custom solutions for analytics and visualisation on top of a machine learning engine.
UNDRSTND Group - ABBYY Technical Summit Oct 2017 - Martyn Christian KeynoteMartyn Christian
Keynote for ABBYY Tech Summit - October 2017 in San Diego, CA.
Industry & Technology trends in digital content, process automation and capture markets and the move to digital transformation solutions
Role of Data in Digital TransformationVMware Tanzu
Data plays a big role in building the kinds of experiences demanded by the market today. In this session, we’ll unpack what goes into building a data-driven app, case studies of how organizations have successfully overcome siloed data and analytics to bring new predictive features into their applications, and what your next steps for data should be on your digital transformation journey.
Speaker: Les Klein, EMEA CTO Data, Pivotal
DataLakes kan skalere i takt med skyen, nedbryde integrationsbarrierer og data gemt i siloer og bane vejen for nye forretningsmuligheder. Det er alt sammen med til at give et bedre beslutningsgrundlag for ledelse og medarbejdere. Kom og hør hvordan.
David Bojsen, Arkitekt, Microsoft
DataArt Custom Software Engineering with a Human ApproachDataArt
DataArt is a global software engineering firm that takes a uniquely human approach to solving problems. With over 20 years of experience, teams of highly-trained engineers around the world, deep industry sector knowledge and ongoing technology research, we help clients create custom software that improves their operations and opens new markets. Powered by our People First principle, we work with clients at any scale and on any platform, and adapt alongside them as they evolve.
Mange virksomheder og organisationer er i fuld gang med at realisere værdi gennem Internet of Things og lignende løsninger. Mulighederne er uanede - og i denne session glæder vi os til at give dig masser af konkrete eksempler og inspiration til, hvordan du kommer i gang.
Lars Bo Granath, produktchef, Microsoft
Microsoft Next 2014 - Insights session 2 - Turning data into a business advan...Microsoft
Microsoft Next 2014 - Insights session 2 - Turning data into a business advantage: Big Data. Small data. All data, v. Lars Bo Granath, Forretnings ansvarlig - Information Platform, Microsoft Danmark
This session is a continuation of “Apply MLOps at Scale” at Data+AI Summit Europe 2020 and “Automated Production Ready ML at Scale” at Spark AI Summit at Europe 2019. In this session you will learn how H&M is continuing to evolve and develop their AI platform in order to democratize and accelerate AI usage across the full H&M group, including speed to production, data abstraction, feature store, pipeline orchestration, etc.
Our existing reference architecture has been adapted by multiple product teams managing 100’s of models across the entire H&M value chain and enables data scientists to develop model in a highly interactive environment, enabling engineers to manage large scale model training and model serving pipeline with full traceability. The current evolution aims to both reduce the time to introduce new features to the market as well as the learning feedback loop by democratizing AI in the organisation and persistent focus on sound MLOps principles.
Digital transformation - Hvor er vi lige nu?Microsoft
Hvordan forankrer virksomheder digital transformation strategisk? Hvilke forretningseffekter forfølger og prioriterer de?
Hvilke udfordringer møder de, og hvordan adresserer de dem i praksis? Qvartz har gennemført en undersøgelse om digital transformation
blandt store virksomheder i Danmark og leverer et overblik over konklusionerne.
Thomas Holm Møller, Partner, Qvartz
I fremtiden må alle virksomheder og organisationer tænke og agere digitalt, hvis de vil udnytte teknologien til at skabe nye forretningsmuligheder.
Hør, hvordan Microsoft på verdensplan hjælper kunder på vej mod digital transformation.
Marianne Dahl Steensen, adm. direktør, Microsoft
Big Data Expo 2017 - Meer grip op outsourcingscontracten met data driven cust...Marc Lelijveld
Veel bedrijven doen het al, informatie verzamelen over de tevredenheid van klanten om dit vervolgens trots te delen met potentiele klanten en concurrenten. Heijmans en Centric zijn als eerste een outsourcing overeenkomst aangegaan waarbij de ouderwetse SLA overboord is gegooid en enkel wordt gestuurd op tevredenheid. Outsourcing contractueel op basis van 90% tevreden gebruiken in plaats van 90% uptime van systemen.
Om dit inzichtelijk te maken en de juiste sturing te kunnen geven zijn enkel de resultaten van enquêtes niet voldoende. Traditionele rapportages van SCOM, SCCM, AD, PRTG, Topdesk Servicenow, etc. geven niet de benodigde inzichten en je bent al snel zoekende in een overvloed aan data verspreid over verschillende bronnen.
Door koppelen van data krijg je inzicht in de processen en kun je deze verbeteren voor het bereiken van een hogere klanttevredenheid. Sebastiaan Boonstoppel en Marc Lelijveld vertellen en laten zien hoe organisaties dit kunnen realiseren.
How to Solve 4 Common Challenges of Legacy Information ManagementNuxeo
After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Many modern organizations find themselves at the same fork in the road: either continue down the path they’re on, applying band-aid after band-aid to outdated ECM systems, or choose a new path with a modern Content Services Platform.
Join Chris McLaughlin, CMO and CPO of Nuxeo, as he examines four common business challenges that these legacy ECM systems pose, and how they can be addressed with a more modern approach. He will share compelling stories from customers that have chosen a different path, and best practices for Information Management professionals to help them along their way.
You'll come away from the webinar understanding:
- Why ECM still poses business challenges
- How a platform-based approach can solve modern content challenges
- Strategies to avoid the risks of modernization by future-proofing your organizational infrastructure
Startup pitch presented by co-founder and CEO Jaco Els. Cubitic offers a predictive analytics platform that allows developers to build custom solutions for analytics and visualisation on top of a machine learning engine.
UNDRSTND Group - ABBYY Technical Summit Oct 2017 - Martyn Christian KeynoteMartyn Christian
Keynote for ABBYY Tech Summit - October 2017 in San Diego, CA.
Industry & Technology trends in digital content, process automation and capture markets and the move to digital transformation solutions
Role of Data in Digital TransformationVMware Tanzu
Data plays a big role in building the kinds of experiences demanded by the market today. In this session, we’ll unpack what goes into building a data-driven app, case studies of how organizations have successfully overcome siloed data and analytics to bring new predictive features into their applications, and what your next steps for data should be on your digital transformation journey.
Speaker: Les Klein, EMEA CTO Data, Pivotal
DataLakes kan skalere i takt med skyen, nedbryde integrationsbarrierer og data gemt i siloer og bane vejen for nye forretningsmuligheder. Det er alt sammen med til at give et bedre beslutningsgrundlag for ledelse og medarbejdere. Kom og hør hvordan.
David Bojsen, Arkitekt, Microsoft
DataArt Custom Software Engineering with a Human ApproachDataArt
DataArt is a global software engineering firm that takes a uniquely human approach to solving problems. With over 20 years of experience, teams of highly-trained engineers around the world, deep industry sector knowledge and ongoing technology research, we help clients create custom software that improves their operations and opens new markets. Powered by our People First principle, we work with clients at any scale and on any platform, and adapt alongside them as they evolve.
Flink Forward Berlin 2017: Bas Geerdink, Martijn Visser - Fast Data at ING - ...Flink Forward
ING is using Apache Flink for creating streaming analytics ('fast data') solutions. We created a platform with Flink and Kafka that offers high-throughput and low-latency, ideally suited for complex and demanding use cases in the international bank such as customer notifications and fraud detection. These use cases require fast data processing and a business rules engine and/or machine learning evaluation system. Integrating these components together in a always-on, distributed architecture can be challenging. In this talk, we'll start with a brief overview of the use cases. You'll learn why ING chose Flink for these use cases, and see the architecture of the streaming data platform in depth. Finally, we'll share some lessons learned and useful insights for organizations who embark on a similar journey.
Arvind Sharma
Global Head - Retail & CPG Vertical Ciklum AG
Arvind has over 20 years of industry experience in leading the delivery of business transformation programs in a digital ecosystem. With strong business engagement and consulting credentials, he creates a climate of collaboration and knowledge sharing, ensuring talent, irrespective of the location, is aligned with business goals and demonstrating exceptional user experience, from conception through to the delivery. He is versatile and proficient at building trust and developing relationships, from field personnel to the C-suite.
Connecting Salesforce.com & Office 365 using Microsoft Flow & PowerAppsJared Matfess
What do Salesforce.com & Office 365 have in common? A lot! And now leveraging technologies such as Microsoft PowerApps & Flow, you can build some very interesting business solutions. Learn how to extend your sales operations beyond CRM and empower Information Workers both at their desks and in the field!
apidays LIVE Australia 2021 - Overcoming the 3 Largest Obstacles to Digital T...apidays
apidays LIVE Australia 2021 - Accelerating Digital
September 15 & 16, 2021
Overcoming the 3 Largest Obstacles to Digital Transformation
Alan Glickenhouse, Digital Transformation Business Strategist at IBM
Value Innovation Labs is a Technology and Consulting company focused on developing products and services for the Fintech space, specifically Digital Banking Transformation and InsurTech. We have a proven track record in developing services based on Block Chain, AI, Big Data and IoT.
For more information you can visit our website : valueinnovationlabs.com
We work as a technology partner to give you competitive
edge in the marketspace.
• Increase brand awareness
• Connect with your customers
• Optimize your processes
• In depth insights and make better decision
• Build scalable and robust systems
Data Con LA 2022 - Using Google trends data to build product recommendationsData Con LA
Mike Limcaco, Analytics Specialist / Customer Engineer at Google
Measure trends in a particular topic or search term across Google Search across the US down to the city-level. Integrate these data signals into analytic pipelines to drive product, retail, media (video, audio, digital content) recommendations tailored to your audience segment. We'll discuss how Google unique datasets can be used with Google Cloud smart analytic services to process, enrich and surface the most relevant product or content that matches the ever-changing interests of your local customer segment.
Melinda Thielbar, Data Science Practice Lead and Director of Data Science at Fidelity Investments
From corporations to governments to private individuals, most of the AI community has recognized the growing need to incorporate ethics into the development and maintenance of AI models. Much of the current discussion, though, is meant for leaders and managers. This talk is directed to data scientists, data engineers, ML Ops specialists, and anyone else who is responsible for the hands-on, day-to-day of work building, productionalizing, and maintaining AI models. We'll give a short overview of the business case for why technical AI expertise is critical to developing an AI Ethics strategy. Then we'll discuss the technical problems that cause AI models to behave unethically, how to detect problems at all phases of model development, and the tools and techniques that are available to support technical teams in Ethical AI development.
Data Con LA 2022 - Improving disaster response with machine learningData Con LA
Antje Barth, Principal Developer Advocate, AI/ML at AWS & Chris Fregly, Principal Engineer, AI & ML at AWS
The frequency and severity of natural disasters are increasing. In response, governments, businesses, nonprofits, and international organizations are placing more emphasis on disaster preparedness and response. Many organizations are accelerating their efforts to make their data publicly available for others to use. Repositories such as the Registry of Open Data on AWS and Humanitarian Data Exchange contain troves of data available for use by developers, data scientists, and machine learning practitioners. In this session, see how a community of developers came together though the AWS Disaster Response hackathon to build models to support natural disaster preparedness and response.
Data Con LA 2022 - What's new with MongoDB 6.0 and AtlasData Con LA
Sig Narvaez, Executive Solution Architect at MongoDB
MongoDB is now a Developer Data Platform. Come learn what�s new in the 6.0 release and Atlas following all the recent announcements made at MongoDB World 2022. Topics will include
- Atlas Search which combines 3 systems into one (database, search engine, and sync mechanisms) letting you focus on your product's differentiation.
- Atlas Data Federation to seamlessly query, transform, and aggregate data from one or more MongoDB Atlas databases, Atlas Data Lake and AWS S3 buckets
- Queryable Encryption lets you run expressive queries on fully randomized encrypted data to meet the most stringent security requirements
- Relational Migrator which analyzes your existing relational schemas and helps you design a new MongoDB schema.
- And more!
Data Con LA 2022 - Real world consumer segmentationData Con LA
Jaysen Gillespie, Head of Analytics and Data Science at RTB House
1. Shopkick has over 30M downloads, but the userbase is very heterogeneous. Anecdotal evidence indicated a wide variety of users for whom the app holds long-term appeal.
2. Marketing and other teams challenged Analytics to get beyond basic summary statistics and develop a holistic segmentation of the userbase.
3. Shopkick's data science team used SQL and python to gather data, clean data, and then perform a data-driven segmentation using a k-means algorithm.
4. Interpreting the results is more work -- and more fun -- than running the algo itself. We'll discuss how we transform from ""segment 1"", ""segment 2"", etc. to something that non-analytics users (Marketing, Operations, etc.) could actually benefit from.
5. So what? How did team across Shopkick change their approach given what Analytics had discovered.
Data Con LA 2022 - Modernizing Analytics & AI for today's needs: Intuit Turbo...Data Con LA
Ravi Pillala, Chief Data Architect & Distinguished Engineer at Intuit
TurboTax is one of the well known consumer software brand which at its peak serves 385K+ concurrent users. In this session, We start with looking at how user behavioral data & tax domain events are captured in real time using the event bus and analyzed to drive real time personalization with various TurboTax data pipelines. We will also look at solutions performing analytics which make use of these events, with the help of Kafka, Apache Flink, Apache Beam, Spark, Amazon S3, Amazon EMR, Redshift, Athena and Amazon lambda functions. Finally, we look at how SageMaker is used to create the TurboTax model to predict if a customer is at risk or needs help.
Data Con LA 2022 - Moving Data at Scale to AWSData Con LA
George Mansoor, Chief Information Systems Officer at California State University
Overview of the CSU Data Architecture on moving on-prem ERP data to the AWS Cloud at scale using Delphix for Data Replication/Virtualization and AWS Data Migration Service (DMS) for data extracts
Data Con LA 2022 - Collaborative Data Exploration using Conversational AIData Con LA
Anand Ranganathan, Chief AI Officer at Unscrambl
Conversational AI is getting more and more widely used for customer support and employee support use-cases. In this session, I'm going to talk about how it can be extended for data analysis and data science use-cases ... i.e., how users can interact with a bot to ask analytical questions on data in relational databases.
This allows users to explore complex datasets using a combination of text and voice questions, in natural language, and then get back results in a combination of natural language and visualizations. Furthermore, it allows collaborative exploration of data by a group of users in a channel in platforms like Microsoft Teams, Slack or Google Chat.
For example, a group of users in a channel can ask questions to a bot in plain English like ""How many cases of Covid were there in the last 2 months by state and gender"" or ""Why did the number of deaths from Covid increase in May 2022"", and jointly look at the results that come back. This facilitates data awareness, data-driven collaboration and joint decision making among teams in enterprises and outside.
In this talk, I'll describe how we can bring together various features including natural-language understanding, NL-to-SQL translation, dialog management, data story-telling, semantic modeling of data and augmented analytics to facilitate collaborate exploration of data using conversational AI.
Data Con LA 2022 - Why Database Modernization Makes Your Data Decisions More ...Data Con LA
Anil Inamdar, VP & Head of Data Solutions at Instaclustr
The most modernized enterprises utilize polyglot architecture, applying the best-suited database technologies to each of their organization's particular use cases. To successfully implement such an architecture, though, you need a thorough knowledge of the expansive NoSQL data technologies now available.
Attendees of this Data Con LA presentation will come away with:
-- A solid understanding of the decision-making process that should go into vetting NoSQL technologies and how to plan out their data modernization initiatives and migrations.
-- They will learn the types of functionality that best match the strengths of NoSQL key-value stores, graph databases, columnar databases, document-type databases, time-series databases, and more.
-- Attendees will also understand how to navigate database technology licensing concerns, and to recognize the types of vendors they'll encounter across the NoSQL ecosystem. This includes sniffing out open-core vendors that may advertise as “open source,"" but are driven by a business model that hinges on achieving proprietary lock-in.
-- Attendees will also learn to determine if vendors offer open-code solutions that apply restrictive licensing, or if they support true open source technologies like Hadoop, Cassandra, Kafka, OpenSearch, Redis, Spark, and many more that offer total portability and true freedom of use.
Data Con LA 2022 - Intro to Data ScienceData Con LA
Zia Khan, Computer Systems Analyst and Data Scientist at LearningFuze
Data Science tutorial is designed for people who are new to Data Science. This is a beginner level session so no prior coding or technical knowledge is required. Just bring your laptop with WiFi capability. The session starts with a review of what is data science, the amount of data we generate and how companies are using that data to get insight. We will pick a business use case, define the data science process, followed by hands-on lab using python and Jupyter notebook. During the hands-on portion we will work with pandas, numpy, matplotlib and sklearn modules and use a machine learning algorithm to approach the business use case.
Data Con LA 2022 - How are NFTs and DeFi Changing EntertainmentData Con LA
Mariana Danilovic, Managing Director at Infiom, LLC
We will address:
(1) Community creation and engagement using tokens and NFTs
(2) Organization of DAO structures and ways to incentivize Web3 communities
(3) DeFi business models applied to Web3 ventures
(4) Why Metaverse matters for new entertainment and community engagement models.
Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...Data Con LA
Curtis ODell, Global Director Data Integrity at Tricentis
Join me to learn about a new end-to-end data testing approach designed for modern data pipelines that fills dangerous gaps left by traditional data management tools—one designed to handle structured and unstructured data from any source. You'll hear how you can use unique automation technology to reach up to 90 percent test coverage rates and deliver trustworthy analytical and operational data at scale. Several real world use cases from major banks/finance, insurance, health analytics, and Snowflake examples will be presented.
Key Learning Objective
1. Data journeys are complex and you have to ensure integrity of the data end to end across this journey from source to end reporting for compliance
2. Data Management tools do not test data, they profile and monitor at best, and leave serious gaps in your data testing coverage
3. Automation with integration to DevOps and DataOps' CI/CD processes are key to solving this.
4. How this approach has impact in your vertical
Data Con LA 2022-Perfect Viral Ad prediction of Superbowl 2022 using Tease, T...Data Con LA
Arif Ansari, Professor at University of Southern California
Super Bowl Ad cost $7 million and each year a few Super Bowl ads go viral. The traditional A/B testing does not predict virality. Some highly shared ones reach over 60 million organic views, which can be more valuable than views on TV. Not only are these voluntary, but they are typically without distraction, and win viewer engagement in the form of likes, comments, or shares. A Super Bowl ad that wins 69 million views on YouTube (e.g., Alexa Mind Reader) costs less than 10 cents per quality view! However, the challenge is triggering virality. We developed a method to predict virality and engineer virality into Ads.
1. Prof. Gerard J. Tellis and co-authors recommended that advertisers use YouTube to tease, test, and tweak (TTT) their ads to maximize sharing and viewing. 2022 saw that maxim put into practice.
2. We developed viral Ads prediction using two scientific models:
a. Prof. Gerard Tellis et al.'s model for viral prediction
b. Deep Learning viral prediction using social media effect
3. The model was able to identify all the top 15 Viral Ads it performed better than the traditional agencies.
4. New proposed method is Tease, Test, Tweak, Target and Spots Ad.
Data Con LA 2022- Embedding medical journeys with machine learning to improve...Data Con LA
Jai Bansal, Senior Manager, Data Science at Aetna
This talk describes an internal data product called Member Embeddings that facilitates modeling of member medical journeys with machine learning.
Medical claims are the key data source we use to understand health journeys at Aetna. Claims are the data artifacts that result from our members' interactions with the healthcare system. Claims contain data like the amount the provider billed, the place of service, and provider specialty. The primary medical information in a claim is represented in codes that indicate the diagnoses, procedures, or drugs for which a member was billed. These codes give us a semi-structured view into the medical reason for each claim and so contain rich information about members' health journeys. However, since the codes themselves are categorical and high-dimensional (10K cardinality), it's challenging to extract insight or predictive power directly from the raw codes on a claim.
To transform claim codes into a more useful format for machine learning, we turned to the concept of embeddings. Word embeddings are widely used in natural language processing to provide numeric vector representations of individual words.
We use a similar approach with our claims data. We treat each claim code as a word or token and use embedding algorithms to learn lower-dimensional vector representations that preserve the original high-dimensional semantic meaning.
This process converts the categorical features into dense numeric representations. In our case, we use sequences of anonymized member claim diagnosis, procedure, and drug codes as training data. We tested a variety of algorithms to learn embeddings for each type of claim code.
We found that the trained embeddings showed relationships between codes that were reasonable from the point of view of subject matter experts. In addition, using the embeddings to predict future healthcare-related events outperformed other basic features, making this tool an easy way to improve predictive model performance and save data scientist time.
Data Con LA 2022 - Data Streaming with KafkaData Con LA
Jie Chen, Manager Advisory, KPMG
Data is the new oil. However, many organizations have fragmented data in siloed line of businesses. In this topic, we will focus on identifying the legacy patterns and their limitations and introducing the new patterns packed by Kafka's core design ideas. The goal is to tirelessly pursue better solutions for organizations to overcome the bottleneck in data pipelines and modernize the digital assets for ready to scale their businesses. In summary, we will walk through three uses cases, recommend Dos and Donts, Take aways for Data Engineers, Data Scientist, Data architect in developing forefront data oriented skills.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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/
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.
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/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Disrupting Corporates with AI by Hicham Mhanna
1. Disrupting Corporates with AI
Aug 2017
Sudipto Das
Director of Engineering
BCG Digital Ventures
Hicham Mhanna
VP of Engineering
BCG Digital Ventures
2. 2
DV Centers
Manhattan Beach
Berlin
Sydney
London
Tokyo
DV Labs
Silicon Valley
San Francisco
Seattle
Mexico City
Shanghai
Our Mission
To invent, launch, and scale game-changing businesses with the world’s most
important corporations and partners
A Unique Combination
BCGDV Innovation | Incubation | Commercialization
BCG Strategy | Transformation
B Capital Corporate Ventures | Market Investment
500+ DVers globally
6 centers & 5 labs
60+ corporate partners
150+ ventures
20+ active incubations
Our multi-disciplinary startup teams
Venture Architects| Product Managers | Strategic Designers
Experience Designers | Engineers | Data Scientists | Growth Hackers
3. 3
&
When we find an
untapped source
of opportunity, we
When we find an
existing venture with
high potential, we
new products
and businesses
in IP, talent and
market opportunities
InvestInvent
We are a Venture Capital firm, and much more
4. 4
Case Study - Personalization
Goal
Become the most
personalized brand in the
world
Starting point
Segmented, not 1:1
targeting
Highly manual
operations
Simple
gamification
Single channel
personalization
5. 5
• Simplifies with segmentation
• Assumes the same journey
• Interactions on different channels are independent
Traditional Approach
6. 6
• Library of dynamic experiences
• Individualised experience assignment triggered by
event
• The system reacts, predicts and learns
• unique journeys are created to maximise response
Example
Takt detects that John Smith (a latte drinking Seattleite) enters a store in
Vancouver, Canada for the first time.
Based on this event data, an individualised experience is instantly
activated for John.
He receives a recommendation to try the New maple Latte (a new
menu item exclusive to Canada that is known to be a hit with Latte
lovers visiting from the US)
TAKT approach
7. 7
Email example
xx million
2-digit variants
6-digit variants
Segmentation Individualization
xx million
6-digit variants
2-digit variants
No. People :
No. Variants :
People/variant:
Multiple machine learning models individualize the message for
content as well as the point on the economic efficiency curve.
The sole reason for a cluster of >1 is that some people simply
like the same thing.
Dynamic construction of the message
Real-time tracking of the progress for the experience
8. 8
Engineering Footprint
Ingestion Services Platform Services Output Services
OPERATIONAL SERVICES
Domain 3rd Party APIs Channel
Transaction Data
Email Events
Customer
Information
Product Data
. . .
. . .
Weather
Data
. . .
. . .
. . .
. . .
. . .
Recommendation
API
Reward
API
. . .
. . .
Email
Mobile
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
Workflow
tracking
Audience
Partitioning
Preference
Models
Product
Hierarchy
Process
Orchestrator
Experimentation
Context
Models
Workflow
Configuration
Business Rules
Workflow
Creation
Federated ML
Services
Asset
Management
Measurement
Optimization
Models
Other
Individualization Services
Workflow Services
Content Services
Template
Management
Propensity
Models
Collaborative
Filter
Churn
Model
Recommendation
Model
9. 9
What is Takt’s customer engagement platform
- Ingesting 100M+ events a day
- Advanced Machine Learning: multiple
dimensions individualize touchpoints for
20M customers
- Real-time ‘‘customer state’’ tracking
- Integrated email and mobile channels
- Scalable, API-based cloud architecture
- Delivering:
- 60M individualized emails per month
- 230M individualized mobile sessions per
month
Takt today -- An advantaged software company
Takt Fakts
- Stand-alone Enterprise SAAS
company
- 67 people; 80% engineering, data
science and product; engineers
from Google, Amazon, Salesforce
- $30M series A funding
- Long-term contract with Starbucks
10. 10
Impact delivered
HOWARD SCHULTZ, Chairman
"Our new one-to-one personalized marketing capability...will prove to be a retail industry
game changer“
KEVIN JOHNSON, CEO
“The personalized Star Dashes and suggested selling are examples of how we are using
personalization to provide a relevant customer experience and to increase engagement...we
saw 8% growth, the highest growth rate in average spend per active rewards member over a
prior year ever, reflecting both increased ticket and transaction frequency."
Source: Starbucks Investor Day – December, 2016 and April, 2017 earnings call