Machine learning and automated decisions are reshaping businesses by automating processes, optimizing customer interactions, and efficiently measuring risk. The future of fintech relies on pervasive use of machine learning, but scaling ML applications is challenging due to the scarcity of data scientists and the complex ML process. Automated machine learning can address these issues by simplifying and accelerating the ML lifecycle, enabling a wider range of users to develop and deploy models at scale across all business functions.
Artificial Intelligence for Banking Fraud PreventionJérôme Kehrli
Artificial Intelligence at NetGuardians:
"From skepticism to large scale adoption towards fraud prevention"
Slides of my speech at the EPFL / EMBA Innovation Leader 2018 event.
[Ai in finance] AI in regulatory compliance, risk management, and auditingNatalino Busa
AI to Improve Regulatory Compliance, Governance & Auditing. How AI identifies and prevents risks, above and beyond traditional methods. Techniques and analytics that protect customers and firms from cyber-attacks and fraud. Using AI to quickly and efficiently provide evidence for auditing requests.
Consumers are looking for more than just banking and machine learning helps banks deliver that.
Machine learning contributes to areas such as credit decisions, risk management, personalized customer experiences, fraud detection, automation and much more.
This PDF will address the following points:
1. An overview of the banking sector and its importance in the economy
2. The top 5 banks in the US benefiting from the power of machine learning
3. The areas in banking where Machine Learning is applied
The use of data science and machine learning in the investment industry is increasing. Financial firms are using artificial intelligence (AI) and machine learning to augment traditional investment decision making.
In this workshop, we aim to bring clarity on how AI and machine learning are revolutionizing financial services. We will introduce key concepts and, through examples and case studies, will illustrate the role of machine learning, data science techniques, and AI in the investment industry.
Agenda:
In Part 1, we will discuss key trends in AI and machine learning in the financial services industry, including the key use cases, challenges, and best practices.
In Part 2, we will illustrate two case studies where AI and machine learning techniques are applied in financial services.
Case studies:
Sentiment Analysis Using Natural Language Processing in Finance
In this case study, we will demonstrate the use of natural language processing techniques to analyze EDGAR call earnings transcripts that could be used to generate sentiment analysis scores using the Amazon Comprehend, IBM Watson, Google, and Azure APIs (application programming interfaces). We will illustrate how these scores can be used to augment traditional quantitative research and for trading decisions.
Credit Risk Decision Making Using Lending Club Data
In this case study, we will use the Lending Club data set to build a credit risk model using
machine learning techniques.
Qu speaker series:Ethical Use of AI in Financial MarketsQuantUniversity
As AI and ML penetrates the financial industry, there are growing concerns about ethical use of AI in Finance. In this talk, Dan will focus on how the AI can be operationalized to help industry professionals and executive teams alike think about opportunities, risks as well as required actions factoring in ethics in our data-driven world.
Artificial Intelligence for Banking Fraud PreventionJérôme Kehrli
Artificial Intelligence at NetGuardians:
"From skepticism to large scale adoption towards fraud prevention"
Slides of my speech at the EPFL / EMBA Innovation Leader 2018 event.
[Ai in finance] AI in regulatory compliance, risk management, and auditingNatalino Busa
AI to Improve Regulatory Compliance, Governance & Auditing. How AI identifies and prevents risks, above and beyond traditional methods. Techniques and analytics that protect customers and firms from cyber-attacks and fraud. Using AI to quickly and efficiently provide evidence for auditing requests.
Consumers are looking for more than just banking and machine learning helps banks deliver that.
Machine learning contributes to areas such as credit decisions, risk management, personalized customer experiences, fraud detection, automation and much more.
This PDF will address the following points:
1. An overview of the banking sector and its importance in the economy
2. The top 5 banks in the US benefiting from the power of machine learning
3. The areas in banking where Machine Learning is applied
The use of data science and machine learning in the investment industry is increasing. Financial firms are using artificial intelligence (AI) and machine learning to augment traditional investment decision making.
In this workshop, we aim to bring clarity on how AI and machine learning are revolutionizing financial services. We will introduce key concepts and, through examples and case studies, will illustrate the role of machine learning, data science techniques, and AI in the investment industry.
Agenda:
In Part 1, we will discuss key trends in AI and machine learning in the financial services industry, including the key use cases, challenges, and best practices.
In Part 2, we will illustrate two case studies where AI and machine learning techniques are applied in financial services.
Case studies:
Sentiment Analysis Using Natural Language Processing in Finance
In this case study, we will demonstrate the use of natural language processing techniques to analyze EDGAR call earnings transcripts that could be used to generate sentiment analysis scores using the Amazon Comprehend, IBM Watson, Google, and Azure APIs (application programming interfaces). We will illustrate how these scores can be used to augment traditional quantitative research and for trading decisions.
Credit Risk Decision Making Using Lending Club Data
In this case study, we will use the Lending Club data set to build a credit risk model using
machine learning techniques.
Qu speaker series:Ethical Use of AI in Financial MarketsQuantUniversity
As AI and ML penetrates the financial industry, there are growing concerns about ethical use of AI in Finance. In this talk, Dan will focus on how the AI can be operationalized to help industry professionals and executive teams alike think about opportunities, risks as well as required actions factoring in ethics in our data-driven world.
10 WealthTech podcasts every wealth advisor should listen toIBM Analytics
Listen to this “Finance in Focus” podcast series to hear a cast of interesting experts discuss how the wealth management industry is adapting to new and emerging technologies that include robo-advisors, blockchain, analytics, and cognitive. Over the course of 10 episodes, hosts Rob Stanich and Alex Baghdjian are joined by wealth management experts to discuss behavior financing, DOL fiduciary rule, social media marketing, account aggregation, millennials, surveillance, and regulations.
Artificial Intelligence - intersection with compliance. How AI principles work with compliance principles around data protection. AI and Compliance. AI - SYSC 13.7 - FCA Compliance. AI and regulation. AI and FCA regulation. AI and ICO regulation.
Artificial Intelligence and Digital Banking - What about fraud prevention ?Jérôme Kehrli
Artificial intelligence for banking fraud prevention.
A presentation on how it takes its root in the digitalisation ways and how it impacts customer experience.
An overview about ZIGRAM, our focus areas, work, use-cases and team. ZIGRAM is a high impact organization which operates in the Data Asset space. Our team is made up of professionals from varied domains like data science, technology, sales, financial services, research and business consulting. Our aim is to deliver value to clients by Building and Managing Data Assets across use cases - thereby boosting revenues and reducing the cost of doing business, in a data-driven world.
Our Vision is to integrate our products, data, and services in DIKW organizations globally, to help solve real-world problems by leveraging Data Assets
Contents
Blockchain Components
Blockchain Reference Architecture
Blockchain Platforms: Ethereum
Blockchain Platforms: Hyperledger
Blockchain Use Cases
Blockchain 3.0
Emerging Blockchain Technology
Big Data Introduction
Big Data Analysis Flow
Big Data Use Cases
IoT Introduction
IoT Use Cases
IoT Analytics
Challenges of IoT Big Data Analytics Applications
Artificial Intelligence Overview
Artificial Intelligence Revolution
Deep Learning Introduction
Deep Learning Use Cases
Automated Skin Cancer Classification
Automated Diabetic Retinopathy Classification
Portable Ultrasound Devices
Big Data in IoT & Deep Learning
The Fourth Industrial Revolution?
AI Investment
Blockchain ICO
IoT Startups by Industry & Patents
AI Startups by Industry & Patents
Blockchain Startups by Industry & Patents
Blockchain + IoT Integration
Blockchain + IoT Use Cases: IIoT & SCM
Blockchain + AI Integration
Blockchain + AI Integration Demo
Blockchain + Big Data Integration
Blockchain + Big Data + AI+ IoT Integration
Xanadu based Blockchain + Big Data + AI+ IoT Integration
Xanadu Functionality
Xanadu based Big Data Archive
Xanadu Performance BMT
Xanadu Commodity Storage System Use Case
Xanadu Cloud Computing Use Case
Xanadu + Hadoop + Deep Learning Integration Demo
Xanadu based Medical CBIR System
Xanadu based Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
Advantage of Xanadu + Blockchain Integration
Xanadu + Blockchain Integration Demo
Presented by Reto Cavegn at the 4th meeting: We would like to present IBM's view on BigData, what the market is requiring, and what products and strategies are evolved out of this requirements. Futher, we will present some reference projects to show, on what use cases customers are working today and what challanges our customers try to solve with BigData. Let me round up with some challenges and lessons we have learned.
Detecting Opportunities and Threats with Complex Event Processing: Case St...Tim Bass
Detecting Opportunities and Threats with Complex Event Processing: Case Studies in Predictive Customer Interaction Management and Fraud Detection, February 27, 2007 FINAL DRAFT 2, 8th Annual Japan\'s International Banking & Securities System Forum, Tim Bass, CISSP, Principal Global Architect, Director
Internet of Things (IoT) patents can provide insights regarding the state of the art and technical details of the IoTinnovations. Following patent analysis is based on TechIPm’s patent research for the most promising IoT startups that are listed in CB Insights’ 2017 The Industrial IoT: 125+ Startups Report (https://www.cbinsights.com/research/top-startups-iiot/).
Mathematical Finance & Financial Data Science Seminar
AI and machine learning are entering every aspect of our life. Marketing, autonomous driving, personalization, computer vision, finance, wearables, travel are all benefiting from the advances in AI in the last decade. As more and more AI applications are being deployed in enterprises, concerns are growing about potential "AI accidents" and the misuse of AI. With increased complexity, some are questioning whether the models actually work! As the debate about fairness, bias, and privacy grow, there is increased attention to understanding how the models work and whether the models are thoroughly tested and designed to address potential issues.
The area "Responsible AI" is fast emerging and becoming an important aspect of the adoption of machine learning and AI products in the enterprise. Companies are now incorporating formal ethics reviews, model validation exercises, and independent algorithmic auditing to ensure that the adoption of AI is transparent and has gone through formal validation phases.
In this talk, Sri will introduce Algorithmic auditing and discuss why Algorithmic auditing will be a formal process industries using AI will need. Sri will also discuss the emerging risks in the adoption of AI and discuss how QuSandbox, his company is building, will address the emerging needs of formal Algorithmic auditing practices in enterprises.
Designing a Successful Governed Citizen Data Science StrategyDATAVERSITY
To compete in today’s digital economy, enterprises require new ways to expand AI across their entire organization. Nearly all firms want to do more with data science, but they don't know where to begin or how to properly empower citizen data scientists to avoid common AI gone wrong accidents.
In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing governance.
10 WealthTech podcasts every wealth advisor should listen toIBM Analytics
Listen to this “Finance in Focus” podcast series to hear a cast of interesting experts discuss how the wealth management industry is adapting to new and emerging technologies that include robo-advisors, blockchain, analytics, and cognitive. Over the course of 10 episodes, hosts Rob Stanich and Alex Baghdjian are joined by wealth management experts to discuss behavior financing, DOL fiduciary rule, social media marketing, account aggregation, millennials, surveillance, and regulations.
Artificial Intelligence - intersection with compliance. How AI principles work with compliance principles around data protection. AI and Compliance. AI - SYSC 13.7 - FCA Compliance. AI and regulation. AI and FCA regulation. AI and ICO regulation.
Artificial Intelligence and Digital Banking - What about fraud prevention ?Jérôme Kehrli
Artificial intelligence for banking fraud prevention.
A presentation on how it takes its root in the digitalisation ways and how it impacts customer experience.
An overview about ZIGRAM, our focus areas, work, use-cases and team. ZIGRAM is a high impact organization which operates in the Data Asset space. Our team is made up of professionals from varied domains like data science, technology, sales, financial services, research and business consulting. Our aim is to deliver value to clients by Building and Managing Data Assets across use cases - thereby boosting revenues and reducing the cost of doing business, in a data-driven world.
Our Vision is to integrate our products, data, and services in DIKW organizations globally, to help solve real-world problems by leveraging Data Assets
Contents
Blockchain Components
Blockchain Reference Architecture
Blockchain Platforms: Ethereum
Blockchain Platforms: Hyperledger
Blockchain Use Cases
Blockchain 3.0
Emerging Blockchain Technology
Big Data Introduction
Big Data Analysis Flow
Big Data Use Cases
IoT Introduction
IoT Use Cases
IoT Analytics
Challenges of IoT Big Data Analytics Applications
Artificial Intelligence Overview
Artificial Intelligence Revolution
Deep Learning Introduction
Deep Learning Use Cases
Automated Skin Cancer Classification
Automated Diabetic Retinopathy Classification
Portable Ultrasound Devices
Big Data in IoT & Deep Learning
The Fourth Industrial Revolution?
AI Investment
Blockchain ICO
IoT Startups by Industry & Patents
AI Startups by Industry & Patents
Blockchain Startups by Industry & Patents
Blockchain + IoT Integration
Blockchain + IoT Use Cases: IIoT & SCM
Blockchain + AI Integration
Blockchain + AI Integration Demo
Blockchain + Big Data Integration
Blockchain + Big Data + AI+ IoT Integration
Xanadu based Blockchain + Big Data + AI+ IoT Integration
Xanadu Functionality
Xanadu based Big Data Archive
Xanadu Performance BMT
Xanadu Commodity Storage System Use Case
Xanadu Cloud Computing Use Case
Xanadu + Hadoop + Deep Learning Integration Demo
Xanadu based Medical CBIR System
Xanadu based Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
Advantage of Xanadu + Blockchain Integration
Xanadu + Blockchain Integration Demo
Presented by Reto Cavegn at the 4th meeting: We would like to present IBM's view on BigData, what the market is requiring, and what products and strategies are evolved out of this requirements. Futher, we will present some reference projects to show, on what use cases customers are working today and what challanges our customers try to solve with BigData. Let me round up with some challenges and lessons we have learned.
Detecting Opportunities and Threats with Complex Event Processing: Case St...Tim Bass
Detecting Opportunities and Threats with Complex Event Processing: Case Studies in Predictive Customer Interaction Management and Fraud Detection, February 27, 2007 FINAL DRAFT 2, 8th Annual Japan\'s International Banking & Securities System Forum, Tim Bass, CISSP, Principal Global Architect, Director
Internet of Things (IoT) patents can provide insights regarding the state of the art and technical details of the IoTinnovations. Following patent analysis is based on TechIPm’s patent research for the most promising IoT startups that are listed in CB Insights’ 2017 The Industrial IoT: 125+ Startups Report (https://www.cbinsights.com/research/top-startups-iiot/).
Mathematical Finance & Financial Data Science Seminar
AI and machine learning are entering every aspect of our life. Marketing, autonomous driving, personalization, computer vision, finance, wearables, travel are all benefiting from the advances in AI in the last decade. As more and more AI applications are being deployed in enterprises, concerns are growing about potential "AI accidents" and the misuse of AI. With increased complexity, some are questioning whether the models actually work! As the debate about fairness, bias, and privacy grow, there is increased attention to understanding how the models work and whether the models are thoroughly tested and designed to address potential issues.
The area "Responsible AI" is fast emerging and becoming an important aspect of the adoption of machine learning and AI products in the enterprise. Companies are now incorporating formal ethics reviews, model validation exercises, and independent algorithmic auditing to ensure that the adoption of AI is transparent and has gone through formal validation phases.
In this talk, Sri will introduce Algorithmic auditing and discuss why Algorithmic auditing will be a formal process industries using AI will need. Sri will also discuss the emerging risks in the adoption of AI and discuss how QuSandbox, his company is building, will address the emerging needs of formal Algorithmic auditing practices in enterprises.
Designing a Successful Governed Citizen Data Science StrategyDATAVERSITY
To compete in today’s digital economy, enterprises require new ways to expand AI across their entire organization. Nearly all firms want to do more with data science, but they don't know where to begin or how to properly empower citizen data scientists to avoid common AI gone wrong accidents.
In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing governance.
Data Natives meets DataRobot | "Build and deploy an anti-money laundering mo...Dataconomy Media
Compliance departments within banks and other financial institutions are turning to machine learning for improving their Anti Money Laundering compliance activities. Today, the systems that aim to detect potentially suspicious activity are commonly rule-based, and suffer from ultra-high false positive rates. DataRobot will discuss how their Automated Machine Learning platform was successfully used for a real use case to reduce their false positives and to enhance their Anti-Money Laundering activities.
Speaker: Vince Leat, Industry Consulting Executive, Teradata
Large enterprises need a partner who has done it before. Teradata has successfully implemented AI across multiple industries, proving the technology as well as producing material business outcomes. Teradata continues to channel IP from successful, field-based AI client engagements into accelerators that lead to faster time to value and reduce the risk of custom AI initiatives. Hear how Teradata helps customers build opportunities derived from AI.
Getting Started in Big Data-Fueled E-Commercejradisson
Presentation to Outdoor Industry at the European Outdoor Summit, 17 October 2013 in Stockholm.
Abstract from the event program:
"Everywhere you turn these days there is a story on the promise of Big Data. Fact is, there is a wave of innovation in Big Data technologies under way that will affect our business. But are we really having a clear idea on how to use it to create new business?
Here in Europe, we're selling against Amazon, Google and other algorithmic commpetitors using spreadsheets and other manual methods. Nobody is talking about concrete use-cases or generating any new business value from Big Data. Until now.... Listen to Jason Radisson, in charge of a complex and forward looking initiative from Sport Scheck to grasp the huge untapped potential of tomorrow's e-commerce consumers."
Pixels.camp - Machine Learning: Building Successful Products at ScaleAntónio Alegria
See video at: https://www.youtube.com/watch?v=p7s1lcaeoZk
How to build Machine Learning products that scale and autonomously evolve using open source technologies like Spark, Cassandra, Hadoop and many others.
While data technologies have been exploding and becoming commoditized, using them effectively to build a product that delivers real value to users can be a mysterious art. A lot of companies still use "gather data, think about it later" but then fail to put that data to work.
Let’s demystify machine learning system’s Data Science lifecycle (from data to production to a continuously evolvable system). Explore the fundamental recipe to build data-learning products that put data to work and provide experiences that are, ironically, more human.
ISC2 Privacy-Preserving Analytics and Secure Multiparty ComputationUlfMattsson7
Use Cases in Machine learning (ML)
Secure Multi-Party Computation (SMPC)
Homomorphic encryption (HE)
Differential Privacy (DP) and K-Anonymity
Pseudonymization and Anonymization
Synthetic Data
Zero trust architecture (ZTA)
Zero-knowledge proofs (ZKP)
Private Set Intersection (PSI)
Trusted execution environments (TEE)
Post-Quantum Cryptography
Regulations and Standards in Data Privacy
How can you maximize the benefits from RPA and AI in your automation initiativesIndernain Singh
Automation is growing in significance for the insurance business. But buying the tool is merely a first step. In reality, your automation strategy needs to consider the implications of automation in your enterprise and work in step with business mandates as well as market demands.
DataRobot 머신러닝 자동화 플랫폼은 전 세계 Top Data Scientist 들의 지식, 경험 및 모범 사례를 바탕으로 최고 수준의 자동화와 사용 편리성을 확보한 가장 진보된 머신러닝 자동화 솔루션 입니다. DataRobot을 통해 비즈니스 관계자, 분석가 및 데이터 과학자 등 기술 수준과 관계 없이 모든 사용자가 기존 모델링 기법에 비해 아주 빠르게, 매우 정확한 예측 모델을 수립하고 구축, 관리할 수 있습니다.
Powering up agents using data science challenges and opportunities NUS-ISS
by Mr.Desmond Lim, Data Science Evangelist, DataRobot for the NUS-ISS SkillsFuture Series Seminar: Harnessing the power of Intelligent Software Agents (9 April 2019)
Transform Banking with Big Data and Automated Machine Learning 9.12.17Cloudera, Inc.
Banks are rich in valuable data and can build and maintain a competitive advantage by identifying and executing on high-value machine learning projects leveraging the rich data available.This webinar will describe use cases fit for big data and machine learning in the banking sector (commercial, consumer, regulatory, and markets) and the impact they can have for your organization.
3 things to learn:
* How to create a next generation data platform and why it is important
* How to monetize big data using predictive modeling and machine learning
* What is needed for automated machine learning as a sustainable, cost-effective, and efficient solution
IBM i & digital transformation - Presentation & basic demo
IBM Watson Studio, IBM DSX Local w/ Open Source (Spark) & IBM Technology (OpenPower, CAPI, NVLINK)
[AIIM18] Automation and Integration (Not Rip and Replace) - Stephen LudlowAIIM International
As long as humans are involved, unstructured content
will continue to be essential to the way we work. In this session, you will learn about three trends that are impacting the way we work: the digital workplace, digital transformation of processes, and cloud and content services.
Privacy preserving computing and secure multi-party computation ISACA AtlantaUlf Mattsson
A major challenge that many organizations faces, is how to address data privacy regulations such as CCPA, GDPR and other emerging regulations around the world, including data residency controls as well as enable data sharing in a secure and private fashion. We will present solutions that can reduce and remove the legal, risk and compliance processes normally associated with data sharing projects by allowing organizations to collaborate across divisions, with other organizations and across jurisdictions where data cannot be relocated or shared.
We will discuss secure multi-party computation where organizations want to securely share sensitive data without revealing their private inputs. We will review solutions that are driving faster time to insight by the use of different techniques for privacy-preserving computing including homomorphic encryption, k-anonymity and differential privacy. We will present best practices and how to control privacy and security throughout the data life cycle. We will also review industry standards, implementations, policy management and case studies for hybrid cloud and on-premises.
Protecting data privacy in analytics and machine learning ISACA London UKUlf Mattsson
ISACA London Chapter webinar, Feb 16th 2021
Topic: “Protecting Data Privacy in Analytics and Machine Learning”
Abstract:
In this session, we will discuss a range of new emerging technologies for privacy and confidentiality in machine learning and data analytics. We will discuss how to put these technologies to work for databases and other data sources.
When we think about developing AI responsibly, there’s many different activities that we need to think about.
This session also discusses international standards and emerging privacy-enhanced computation techniques, secure multiparty computation, zero trust, cloud and trusted execution environments. We will discuss the “why, what, and how” of techniques for privacy preserving computing.
We will review how different industries are taking opportunity of these privacy preserving techniques. A retail company used secure multi-party computation to be able to respect user privacy and specific regulations and allow the retailer to gain insights while protecting the organization’s IP. Secure data-sharing is used by a healthcare organization to protect the privacy of individuals and they also store and search on encrypted medical data in cloud.
We will also review the benefits of secure data-sharing for financial institutions including a large bank that wanted to broaden access to its data lake without compromising data privacy but preserving the data’s analytical quality for machine learning purposes.
This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.
Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start.
About Parul Pandey:
Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.
Similar to The future of FinTech product using pervasive Machine Learning automation - André Balleyguier (DataRobot) (20)
Shift Remote: AI: Behind the scenes development in an AI company - Matija Ili...Shift Conference
Creating any type of company takes enormous amounts of effort, hard work, and persistence. Let alone an Artificial Intelligence company. As we can assure you, it will take a lot more than the above and adding just a team of brilliant AI scientists to build complex real-world AI solutions. In this talk, we will show you the crucial roles of development teams in a high-performing Artificial Intelligence company.
Shift Remote: AI: Smarter AI with analytical graph databases - Victor Lee (Ti...Shift Conference
Today's analytical graph databases are taking organizations to another level by connecting all their data, representing knowledge better, and obtaining answers to deeper questions in real time. These benefits extend to the world of machine learning and AI. This talk will illustrate several ways in which graph databases and graph analytics can deliver smarter AI:
1. Unsupervised learning with graph algorithms.
2. Feature extraction and enrichment with graph patterns.
3. In-database ML techniques for graphs
Shift Remote: DevOps: Devops with Azure Devops and Github - Juarez Junior (Mi...Shift Conference
This talk explores how to modernize your infrastructure with Microsoft Azure DevOps and GitHub, the cultural transformation required to get there end, the opportunities that arise from such a shift.
Shift Remote: DevOps: Autodesks research into digital twins for AEC - Kean W...Shift Conference
Autodesk Research has been exploring the intersection of BIM (Building Information Modeling) and Internet of Things (IoT) for the last decade. Project Dasher (http://dasher360.com) integrates sensor data with model data from Autodesk’s Forge platform to contextualize IoT data in 3D. This session will look at the history of Dasher, as well as how some of its capabilities are now being integrated into Forge, allowing web developers to build digital twins integrating real-world performance data with 3D geometry.
Shift Remote: DevOps: When metrics are not enough, and everyone is on-call - ...Shift Conference
Is "Observability" just another term to make DevOps cool again? Let's talk about why observability is not just a term, and not just monitoring. This session explores how modern applications are driving a different approach to operations and changing the way companies think about their on-call strategy. Sustainable DevOps means application management plans keep pace with application velocity.
Shift Remote: DevOps: Modern incident management with opsgenie - Kristijan L...Shift Conference
Opsgenie is a cloud-based service for dev & ops teams, providing reliable alerts, on-call schedule management and escalations. Opsgenie monitors and reports on the entire life cycle of a ticket, allowing operations personnel to analyze incidents and outages and identify areas for improvement. Are you ready to improve your incident and alert management systems?
Shift Remote: DevOps: Gitlab ci hands-on experience - Ivan Rimac (Barrage)Shift Conference
DevOps tooling and practices are changing every day. Nowadays you can standardize and automate your infrastructure, application delivery, and policies as code. You’ll be ready to adapt quickly—helping your team do their best work faster while staying competitive. Gitlab CI is a modern tool which can help you manage, package, configure and much more with your apps. You can get your infrastructure to play very nice with it. It is designed to improve software development productivity. Topics we will be covering in a talk are pipeline configuration, DAG, components, controls, job configuration.
Shift Remote: DevOps: DevOps Heroes - Adding Advanced Automation to your Tool...Shift Conference
DevOps is more than the process of automating your CI/CD pipelines to generate code and deployment artifacts for production. It's also about organizational change and integration of many subtle processes that help you to deliver applications seamlessly from development to production through your operations.Let's unlock the power of process integration with a getting started walk through of a free online hands-on workshop that adds advanced automation to your devops toolbox. We'll take you through the integration of an organizational process as part of your DevOps strategy. Step-by-step you'll learn how to build a data model, create an automated process, integrate user approval tasks, and more using modern open source process automation tooling. No experience in automation integration is required. Join us for a short session that helps you in adding a new tool to your devops toolbox.
Shift Remote: Game Dev - Localising Mobile Games - Marta Kunic (Nanobit)Shift Conference
Nanobit is famous for its interactive story games. In the beginning we created those games only in English and without support for any other language. There were many people who were not able to play them because they didn’t speak English and couldn’t understand anything. In this talk you will find out how we managed to translate our games and increase the number of our players more than twice.
Shift Remote: Game Dev - Challenges Introducing Open Source to the Games Indu...Shift Conference
As many of us already know - open source is highly prevalent in the wider technical landscape. However, in the games industry, it is far less so. At Google we’ve been working on a variety of open source projects for game developers, and have come across several challenges that are fairly unique to the games industry -- so let’s take a look at them, and some proposed solutions that we’ve come up with to help you in that area!
Shift Remote: Game Dev - Ghost in the Machine: Authorial Voice in System Desi...Shift Conference
It’s easy to see an agenda in a piece of narrative work, or to see a criticism of an issue in a digital painting,but can math be an expression of our view of the world? Can dynamics of the systems say how we feel about the world? I strongly believe they can, so let me show you how, and why.
Shift Remote: Game Dev - Building Better Worlds with Game Culturalization - K...Shift Conference
With over 30 years of experience in digital media as a geographer and culturalization strategist, and 27+ years in games, Kate Edwards has been involved in the creation of many games, including major titles such as Halo, Fable, Age of Empires, Mass Effect, Call of Duty, and many, many others. She has seen it all when it comes to geopolitical and cultural issues that are often overlooked in content creation and can negatively affect the ability of content to be accepted overseas, and she has seen designers miss opportunities to create more robust worlds that engage the players from diverse cultural backgrounds. Kate will discuss the field of content culturalization and how it can assist game creators with building better game worlds that account for a wider range of cultural and geopolitical considerations.
Shift Remote: Game Dev - Open Match: An Open Source Matchmaking Framework - J...Shift Conference
Developers want to focus on connecting players together for online multiplayer game sessions, not gaming infrastructure. Google has worked alongside developers and publishers to create Open Match to solve this issue. This open source matchmaking framework provides developers with tools to build a scalable matchmaker without the overbearing tasks of managing their infrastructure when hit with a sudden surge of players. In this talk, we will explore Open Match, its features, and the benefits of building Open Match in open source.
Shift Remote: Game Dev - Designing Inside the Box - Fernando Reyes Medina (34...Shift Conference
In game development, resources are limited. For any creative endeavor, this might seem very restrictive and counterintuitive. In this talk we’ll explore how constraints can be used to our advantage, leading to designing and creating better and more unique products.
Shift Remote: Mobile - Efficiently Building Native Frameworks for Multiple Pl...Shift Conference
In this talk you will learn about some of the approaches that you can take to effectively design and build native frameworks that behave consistently across platforms while leveraging each platform's native strengths and APIs. We'll go over the process all the way from designing a feature, to writing a feature specification, to a passing test suite for every platform.
Shift Remote: Mobile - Devops-ify your life with Github Actions - Nicola Cort...Shift Conference
What's the first thing you should do when starting a new project...? Setup a good CI system! With Github Actions you can do it in a couple of seconds. You can easily setup a workflow to build your project, test it on different machines, and deploy the results. In this talk we're going to see how you can setup a simple Github Action for your repository and start enjoying it right after.
Shift Remote: WEB - GraphQL and React – Quick Start - Dubravko Bogovic (Infobip)Shift Conference
Have you ever wondered if there's a way to create simple real time apps? Were you ever tired of creating numerous APIs for your CRUD operations or just some simple aggregated data? There is a simple, fast way to do just that, GraphQL. Well look into what GraphQL can do for us, how to create a simple opensource GraphQL server on top of Postgres and how to use the data in our front end apps.
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.
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.
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
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
The future of FinTech product using pervasive Machine Learning automation - André Balleyguier (DataRobot)
1. Shift Money
Nov 26th 2018
The future of FinTech using
pervasive Machine Learning automation
André Balleyguier - Chief Data Scientist EMEA at DataRobot
36. The world’s most advanced Automated Machine Learning platform
INSURANCE HEALTHCARE BANKING & FINTECH CYBER-SECURITY AND MORE
200+
800,000,000+
Models built on
DataRobot cloud
#1 ranked
Data scientists
4 50+Top 3 finishes
Data scientists &
Engineers (of 500+)
$225M+
In funding
2012Founded
HQ in Boston, MA