Recently, AI has spread its impacts on various fields and finance is not an exception. With over 15 years working in banking industry, Mr Le Cong Binh brought to VFS not only the theories but also the practical use case that reflected the best how AI was affecting this industry.
The talk will have 3 parts. The overview of the practical applications of the AI and ML in the FinTech industry with a short explanation of the PSD2 directive and the disruption is caused. Application of the AI/ML from the perspective of the end-user, personal financial health, financial coach, etc. The overview of the architecture, technologies, and frameworks used with practical examples from the Zuper company.
AI in Fintech - slides for plenary panel @ IJCAI-20 Usama Fayyad
AI in Fintech - slides for plenary panel @ IJCAI-20 – 1/14/2021: https://ijcai20.org/panels/
AI in the FinTech era powers unprecedented financial innovations that facilitate, diversify, and transform our lives, society, and economy:
What makes AI critical in innovating FinTech?
What financial challenges demand AI?
What are challenges brought by AI-empowered finance? Opportunities or challenges?
What will next-generation AI-enabled FinTech look like? and
Answering these big questions demand deep thinking, insight, knowledge, and experience in the interdisciplinary innovation. 4 outstanding leaders share their unique insights and impactful experience.
[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.
The Four Essentials Of Digital Cash Forecastingemagia
Learn about how to forecast cash flow more accurately. Our focus will be on forecasting cash inflow from Accounts Receivable (AR) which is the largest operational source of cash for most companies.
The talk will have 3 parts. The overview of the practical applications of the AI and ML in the FinTech industry with a short explanation of the PSD2 directive and the disruption is caused. Application of the AI/ML from the perspective of the end-user, personal financial health, financial coach, etc. The overview of the architecture, technologies, and frameworks used with practical examples from the Zuper company.
AI in Fintech - slides for plenary panel @ IJCAI-20 Usama Fayyad
AI in Fintech - slides for plenary panel @ IJCAI-20 – 1/14/2021: https://ijcai20.org/panels/
AI in the FinTech era powers unprecedented financial innovations that facilitate, diversify, and transform our lives, society, and economy:
What makes AI critical in innovating FinTech?
What financial challenges demand AI?
What are challenges brought by AI-empowered finance? Opportunities or challenges?
What will next-generation AI-enabled FinTech look like? and
Answering these big questions demand deep thinking, insight, knowledge, and experience in the interdisciplinary innovation. 4 outstanding leaders share their unique insights and impactful experience.
[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.
The Four Essentials Of Digital Cash Forecastingemagia
Learn about how to forecast cash flow more accurately. Our focus will be on forecasting cash inflow from Accounts Receivable (AR) which is the largest operational source of cash for most companies.
Why should large businesses get all the AI?
Work faster and smarter by leveraging the built-in AI
of Microsoft Dynamics 365 Business Central.
To learn more about Business Central, visit https://adynamics.com.my/resources/infographics/business-central-ai-infographic-infographic/
BBS-248 Artificial Intelligence (AI) for Financial ServicesOzgur Karakaya
• Artificial Intelligence (AI) general info and the AI world market
• AI in financial sector: services that AI can be applied (Investing, Management, Market Research, Blockchain, Fraud Detection, AI Assistants/Bots, etc.)
• AI firms, products and the tech behind.
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.
AI-Finance-and Future of PV-SMC Final-10-18-16Shaun Comfort
Presentation showing how other fields such as finance have moved unequivocally towards automation and machine learning. This presentation speculates that the field of PV is ripe for disruptive innovation using machine learning, like much of medicine in general.
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
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.
Artificial Intelligence: a driver of innovation in the Banking Sector - The Italian case
Marco Rotoloni (Head of the research team on banking operations, ABI Lab)
Learn how Artificial Intelligence (“AI”) and Machine Learning (“ML”) are revolutionizing financial services
Introduction of key concepts and illustration of the role of ML, data science techniques, and AI through examples and case studies from the investment industry.
Uses simple math and basic statistics to provide an intuitive understanding of ML, as used by financial firms, to augment traditional investment decision making.
Careers in ML and AI and how professionals should prepare for careers in the 21st century, especially post Covid19.
In Banking & Lending sector AI has played vital role in transforming the way Banking & lending sector works. The most important factor is to enable the seamless customer experience by enhancing the business processes with low cost.
AI & ML has made it easier for customers to interact with Banking without any problem. Looking to implement AI in your banking & lending businesses, write to layak@artivatic.ai
Marketers' Hopes and Fears for Artificial IntelligenceDavid Berkowitz
What do marketers expect from artificial intelligence? How will AI impact marketers' jobs? Will it play a bigger role in media buying or creative, account management or finance? What do marketers want to get out of it? Why should marketers care about it? And what can marketers learn from the leading thinkers about AI? All of this is covered in research first presented at IAB Conecta in Mexico City in August 2017.
Why should large businesses get all the AI?
Work faster and smarter by leveraging the built-in AI
of Microsoft Dynamics 365 Business Central.
To learn more about Business Central, visit https://adynamics.com.my/resources/infographics/business-central-ai-infographic-infographic/
BBS-248 Artificial Intelligence (AI) for Financial ServicesOzgur Karakaya
• Artificial Intelligence (AI) general info and the AI world market
• AI in financial sector: services that AI can be applied (Investing, Management, Market Research, Blockchain, Fraud Detection, AI Assistants/Bots, etc.)
• AI firms, products and the tech behind.
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.
AI-Finance-and Future of PV-SMC Final-10-18-16Shaun Comfort
Presentation showing how other fields such as finance have moved unequivocally towards automation and machine learning. This presentation speculates that the field of PV is ripe for disruptive innovation using machine learning, like much of medicine in general.
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
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.
Artificial Intelligence: a driver of innovation in the Banking Sector - The Italian case
Marco Rotoloni (Head of the research team on banking operations, ABI Lab)
Learn how Artificial Intelligence (“AI”) and Machine Learning (“ML”) are revolutionizing financial services
Introduction of key concepts and illustration of the role of ML, data science techniques, and AI through examples and case studies from the investment industry.
Uses simple math and basic statistics to provide an intuitive understanding of ML, as used by financial firms, to augment traditional investment decision making.
Careers in ML and AI and how professionals should prepare for careers in the 21st century, especially post Covid19.
In Banking & Lending sector AI has played vital role in transforming the way Banking & lending sector works. The most important factor is to enable the seamless customer experience by enhancing the business processes with low cost.
AI & ML has made it easier for customers to interact with Banking without any problem. Looking to implement AI in your banking & lending businesses, write to layak@artivatic.ai
Marketers' Hopes and Fears for Artificial IntelligenceDavid Berkowitz
What do marketers expect from artificial intelligence? How will AI impact marketers' jobs? Will it play a bigger role in media buying or creative, account management or finance? What do marketers want to get out of it? Why should marketers care about it? And what can marketers learn from the leading thinkers about AI? All of this is covered in research first presented at IAB Conecta in Mexico City in August 2017.
A presentation to the FSN-Elite Conference on the Future of Finance in London. Discuses how developments in data science will radically change the finance function and analysis. Part of this presentation challenges the core of how Finance and Accounting manage their data.
Slide presentasi ini dibawakan oleh Imron Zuhri dalam acara Seminar & Workshop Pengenalan & Potensi Big Data & Machine Learning yang diselenggarakan oleh KUDO pada tanggal 14 Mei 2016.
ghtyfvgyhuohikbjgcfgvhkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkAir pollution is the act of mixing pollutants into air which is not ideal because it decreases the quality of life of human-beings and affects the overall planet’s habitat. Air pollution occurs when dangerous particles, gases, and chemicals are released into the air. The pollutants of air can be found in vehicle exhausts, fumes from factories and power plants, and construction sites. Respiratory problems, skin diseases, irritation of the eyes are some of the major health issues caused by air pollution. To combat this, many governments have created and enforced policies to reduce air pollution, such as shutting down coal power plants or requiring car owners to switch over to electric cars. Air purifiers are being installed at points of high vehicular movement. Rain seeding is another step to clean up the air. We should also plant more trees and care for them as trees filter pollutants and absorb carbon dioxide. Air Pollution is a challenge that humankind needs to overcome to see a better tomorrow.
(166 words)
Example 2: Importance of Trees
Trees are very important, valuable and necessary to our existence as they have furnished us with two important life essentials; food and oxygen. Trees intake Carbon dioxide from air and breathe out fresh oxygen. Carbon dioxide breathed in by the trees is one of the greenhouse gases. So planting more trees will clean the air and reduce the ill – effects of global warming.
Trees provide food to man and all herbivorous animals. Animals, insects, birds, and fungi make their home in the trees and make a diverse ecosystem. Trees also help in binding the soil. When trees are cut off, the most fertile top soil layer gets washed away easily in rains or floods. Trees provide us with medicinal herbs, timber, shelter too.
Hence, We should encourage planting more and more trees. It is for our own betterment and the sooner we understand this, the better it is for us.
(150 words)
Example 3: India of my Dreams
India is a country where people of all cultures and religions coexist. As Indian citizens, we are continuously looking for ways to improve our country and see a better India.
In the India of my dreams, women would be safe and be able to travel freely. Additionally, it will be a place where everyone may experience freedom and equality in its truest form. It would also be a place without caste, colour, gender, creed, social or economic standing, or race prejudice. India of my dreams should be a place where poor people get empowerment, face no poverty, do not starve, and get the proper roof to live. Additionally, I think of it as a place that experiences a lot of technological growth and development. I wish our wonderful nation nothing ggggggggg
What is data science ?
Data rules the world we live in, and in fact, has been dubbed the “oil” of the 21st century. In the past few years, the world has witnessed a steep and continuing upsurge in data. Thanks to the growth of social media, smartphones, and the Internet of Things, the amount of data at our disposal today is beyond imagination. As Alphabet’s Eric Schmidt claims, every 48 hours, we generate the amount of data humanity produced since the dawn of civilization until 15 years ago. So, how then, are we able to make sense of such massive amounts of data?
To put in simple terms, Data Science is a combination of mathematics, programming, statistics, data analysis, and machine learning. By combining all these, Data Science uses advanced algorithms and scientific methods to extract information and insights from large datasets – both structured and unstructured. The advent of Big Data and Machine Learning has further fuelled the growth of Data Science. Today, Data Science is being used across all parallels of various industries, including business, healthcare, finance, and education.
While the IoT is already a reality that connects smart devices, in the future, we might be looking forward to being a part of an Intelligent Digital Mesh – a connected hub of apps, devices, and people working together in sync.
Product marketing and customer service will be revolutionized by advanced chatbots, Virtual Reality (VR), and Augmented Reality (AR). We might be looking forward to a time when personalized customer experience will include live simulations, interactive demos, visualization of proposed solutions.
Blockchain might just go mainstream – it will not only be limited to the finance sector, but blockchain will apply to healthcare, banking, insurance and other industries.
Automated ML systems and Augmented Analytics together will transform Predictive Analytics and take it to the next level. Predictive Analytics will further help change the face of healthcare.
The job title of a ‘Data Scientist’ will undergo a massive transformation to include an array of diverse roles. As technology, Data Science, and AI continue to advance, Data Scientists will have to evolve to keep pace with the dynamic learning curve of Data Science.
by Jamie Cole, Executive Partner, IBM.
Cognitive Applications at IBM have come a long way from Watson's debut on the game show Jeopardy in 2011. As well as introducing the Cognitive topic, this session will look at examples (in particular manufacturing but also healthcare, buildings and retail) to discuss where Cognitive and AI is being used and how organisations are driving value from the technology.
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
Inside Story on HPC’s Role in Bridges Strategic Reasoning Research Project at...Dana Gardner
Transcript of a discussion on how Carnegie Mellon University researchers are advancing strategic reasoning and machine learning capabilities using the latest in high performance computing.
This second machine age has seen the rise of artificial intelligence (AI), or “intelligence” that is not the result of
human cogitation. It is now ubiquitous in many commercial products, from search engines to virtual assistants. aI is the result of exponential growth in computing power, memory capacity, cloud computing, distributed and parallel processing, open-source solutions, and global connectivity of both people
and machines. The massive amounts and the speed at which structured and unstructured (e.g., text, audio, video, sensor) data is being generated has made a necessity of speedily processing and generating meaningful, actionable insights from it.
Best Data Science Hybrid Course in Pune
Data Science, in its simpler terms, is about generating critical business value from the data through various creative ways. It can also be defined as a mix of data research, algorithms, and technology to solve complex analytical issues. Data is being generated by Companies at an exponential pace. The usable Data form can be different for different sections of people working in an organization.
Data Science Classes help us to explore the data to a granular form and find the needed insights. Data Science is about being analytical or inquisitive wherein asking new questions, doing further explorations, and continuing learning is a part of the job for Data Scientists.
According to Harward Business Review, Data Scientist is the Sexiest Job of the 21st Century.
According to Forbes, IBM Predicts Demand For Data Scientists Will Soar 28% By 2020
GET FRONTLINE DATA SCIENCE TRAINING IN PUNE AT 3RI TECHNOLOGIES
Data Science is a trending niche, for it promises notable mileage for the business economy! It is rather ironic that data which was considered a burden to manage and store only about a few decades ago is now viewed as a resource; courtesy of course to data scientists. They have brought about a paradigmatic change through their skills which allow them to derive the value from raw data. It is important to mention that ‘Raw Data’ is clueless to most laymen, including the high echelons in business management; but when processed through Data Science Tools, it renders value that is precious and immense for the decision-makers and salesmen. They are all riding on the Professionalism of the Data Scientists and this generates the demand of the latter! 3RI Technologies is the leading institution offering Data Science Classes in Pune and fresh graduates as well as Working Professionals can enroll for it.
WHAT IS DATA SCIENCE?
Today, Data Science is a much-talked subject and its significance is being deliberated among the business managers who are eager to hire a brilliant professional onboard their firm. Data Science is a milieu space that is shared by the distinct yet related domains of statistics & applicative mathematics, computer programming frameworks and tools, data metrics, and analytics. Machine Learning & associated automation underpins all the above-listed fields, almost as a generic derivative; because it is through this channel that the good results are accrued in favor of the business clients. What are these good results? Let’s talk about them!
Trending smart services that are propelling businesses around the world such as SEO, SMO, SMM, SEM and CRM, all revolve around the ability to generate leads of authentic value for the commerce banners. The web developers have been doing well through their professional conduct for their clients but they in turn actively seek the ‘Meaningful Data’ about the existing and potential customers, the market trends, and the competition figures of the biz rivals. Here, Data Sc
Supply Chain Finance and Artificial Intelligence - a game changing relationsh...Igor Zax (Zaks)
Igor Zax (Zaks) , CFA, President of Tenzor Ltd. and Alexei Lapouchnian, Ph.D. published a new article, Supply Chain Finance and Artificial Intelligence -a game changing relationship? in Receibable Finance Technology Yearbook 2018 by BCR Publishing. The book would be officially launched at RFIx Receivables Finance International Convention 14-15 March 2018 in London, UK.
[VFS 2019] Vietnamese Speech-to-Text: Applications and ProductNexus FrontierTech
In Vietnam at the moment, VAIS is one of the most outstanding AI startups in speech-to-text. Their product has been applied by many enterprises and govermental departments.
Ai is now making impact on the traditional industries such as recruitment. CEO of a young AI startup in Vietnam had introduced the solution at Vietnam Frontier Summit 2019.
[VFS 2019] Preventive Approach to Designing and Selling Healthy AI System Nexus FrontierTech
From Tokyo, Hajime Hotta is a serial entrepreneur who's had several successful ventures in Japan. He invented and led the core product at Cirius Technologies, which was acquired by Yahoo Japan, and also led the series A funding at Naked Tech, which was sold to Mixi Japan. He has a PhD in Artificial Intelligence and a strong background in AI and AI-web application. His presentation at Vietnam Frontier Summit will be insightful enough about building and selling healthy AI systems.
[VFS 2019] Phương pháp phát hiện bất thường bằng học máyNexus FrontierTech
Hiện nay, tại tập đoàn CMC, phương pháp phát hiện bất thường bằng Machine Learning đang là một công nghệ được nghiên cứu và ứng dụng trong nhiều giải pháp khác nhau cho nhiều lĩnh vực.
[VFS 2019] OCR Techniques for Digital Transformation EvolutionNexus FrontierTech
Recently, digital transformation has been a topic that attracts a lot of attention all over the world, and it cannot be denied that AI is playing an important role in this field.
OCR techniques have proven themselves to be an effective solution for this movement.
At Vietnam Frontier Summit 2019, CTO of Asilla - an AI startup in Vietnam - did not only introduce about the application of Human activity Recognition in reality but also go into details of the available approaches.
With his experience of applying new technology such as AI, Blockchain,... into various fields at VNPT-IT corporate in Vietnam, Mr. Nguyen Kim Tien Cuong brought to Vietnam Frontier Summit a lot of useful insights of how to apply this new technology into banking activities.
[VFS 2019] Digital Solution for Enterprises: 24/7 A.I English Speaking CoachNexus FrontierTech
ELSA is currently one of Vietnam's most outstanding AI startup. Coming to Vietnam Frontier Summit 2019, Ms, Ruby Nguyen - country manager of ELSA - will share how this startup is now a proprietary A.I application that teaches people to speak English at native-level proficiency, with over 4 million learners from 101 countries
[VFS 2019] Project Management for AI-based Product - A Better ApproachNexus FrontierTech
As a Technical Consultant at Nexus FrontierTech and a PMP Training lecturer, Eugene Nguyen has a lot of experience with AI project management. This will present a new approach to the activity with AI-based product.
Bui Hai Nam is Co-founder and CEO of Datamart Solutions, empowering brands and retailers with data analytics and automated management solutions to effectively grow their e-commerce business across the S.E.A region. In last 3 years, he is also co-founders of multi-million dollar valued startups in this ecosystem including OnPoint, Lamino, Intrepid Group, Swift 247...
In this presentation, he would share about E-Commerce ecosystem of services and the opportunities to develop busisness in this ecosystem as well as the experience of startups expanding to the SEA region.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. LE CONG BINH, MBA
Applied Mathematics and Informatics, VNU-HUS
MBA, NEU
Advanced Data Science with IBM
15+ years in banking industry
10+ Data warehouse, 3+ Data mining experience
binhlc@gmail.com
3. Data science methodology
Data science algorithm
Use case in banking sector
CRISP-DM: cross-industry process for data mining
Time series, Machine and Deep learning
Risk, sales and customer insight
TABLE OF
CONTENTS
01
02
03
Want to hear your question
04 Discussion
6. DATA VISUALIZATION
Business acumen
Communication skills
Data processing
Data visualization
Mathematical
Statistical
Machine Learning
Deep Learning
Programing
“The most of time in
data science is Collect,
Cleaning and
Organizing Data”
7. Business acumen
Communication skills
Data processing
Data visualization
Mathematical
Statistical
Machine Learning
Deep Learning
Programing
“Python is the top of programing
language”
8. DATA VISUALIZATION
Business acumen
Communication skills
Data processing
Data visualization
Mathematical
Statistical
Machine Learning
Deep Learning
Programing
Data
Visualizations make
big and
small data easier for
the human brain to
understand,
and visualization also
makes it easier to
detect patterns,
trends, and outliers in
groups of data
10. ALGORITHYM AR MA SMA
ARIMA ARIMAX
VAR VARMA
A series of values of a quantity obtained at successive times, often with
equal intervals between them
Holt Winter’s
Exponential
15. 15
MODEL
EVALUATION
ESTIMATORS = {
'KernelRidge': KernelRidge(alpha=1.0),
'BayesianRidge': BayesianRidge(compute
score=True),
'SVR': svm.SVR(),
'GPR': GaussianProcessRegressor()
}
X train, X test, y train, y test, X pred =
CreateTrainTestDataset()
16. Banking use case03
By design, intelligent algorithms are good at solving specific problems
and cannot deviate from what they were designed for. An algorithm
trained to detect suspicious payments would not be able to detect any
other suspicious activity related to trading, for instance.
In addition, algorithms are purely rational and lack essential factors
such as emotional intelligence and the ability to contextualize
information, unlike human beings. That’s why banking Chabot's often
disappoint: they are “smart” but lack empathy.
20. SUMMARY
1. Financial institutions may need to consider restructuring their
business models in order to harness this new technology.
2. There will be a need to create job positions in relation to AI
3. However, proceed with some caution due to the existing
challenges in terms of trust, privacy and data issues.
4. They must also keep an on RegTech (Regulatory Technology) to
better address new regulatory requirement.
5. Overall, firms should embrace AI now or face the possibility of
being left behind