Leverage the Power of Artificial Intelligence in Banking Industrysandipanmukherjee13
AI offers intelligent, personalized, and omnichannel banking services. It helps reduce human error and strengthens the customer base by increasing satisfaction and trust. The business can enjoy brand image along with the other benefits of smart automation.
Application of artificial intelligence in banking venkat vajradhar - mediumvenkatvajradhar1
Digital disruption is about redefining industries and changing the way businesses operate. Each sector is evaluating options and adopting ways to create value in a technology-driven world. The banking sector is seeing exceptional changes: above all, an increase in customer-centricity.
AI helps banks to predict future trends as well as outcomes. It has the power to predict future scenarios by analyzing past behaviors. Therefore, banks can easily identify fraud, detect anti-money laundering patterns, and make customer recommendations. AI is capable enough to detect suspicious data patterns among humungous volumes of data, which further helps in fraud management.
How would digital technology change the landscape of retail branch banking? Will the physical network disappear? Will robots replace human financial advisers? Will augmented reality become everyday life? This presentation looks at the value chain of branch banking and the relevance of five innovative technologies: Open API, artificial intelligence, RPA, augmented reality and blockchain.
AI in Banking Industry and Effects on Customers.pdfCeyhun Jay Tugcu
From personalized recommendations to automated wealth management, AI is revolutionizing the customer experience in banking, offering convenience, efficiency, and improved financial well-being. This material delves into the transformative aspects of AI in banking and the ethical considerations and challenges that come with its adoption.
Application of artificial intelligence in banking venkat vajradhar - mediumvenkatvajradhar1
Digital disruption is about redefining industries and changing the way businesses operate. Each sector is evaluating options and adopting ways to create value in a technology-driven world. The banking sector is seeing exceptional changes: above all, an increase in customer-centricity.
Leverage the Power of Artificial Intelligence in Banking Industrysandipanmukherjee13
AI offers intelligent, personalized, and omnichannel banking services. It helps reduce human error and strengthens the customer base by increasing satisfaction and trust. The business can enjoy brand image along with the other benefits of smart automation.
Application of artificial intelligence in banking venkat vajradhar - mediumvenkatvajradhar1
Digital disruption is about redefining industries and changing the way businesses operate. Each sector is evaluating options and adopting ways to create value in a technology-driven world. The banking sector is seeing exceptional changes: above all, an increase in customer-centricity.
AI helps banks to predict future trends as well as outcomes. It has the power to predict future scenarios by analyzing past behaviors. Therefore, banks can easily identify fraud, detect anti-money laundering patterns, and make customer recommendations. AI is capable enough to detect suspicious data patterns among humungous volumes of data, which further helps in fraud management.
How would digital technology change the landscape of retail branch banking? Will the physical network disappear? Will robots replace human financial advisers? Will augmented reality become everyday life? This presentation looks at the value chain of branch banking and the relevance of five innovative technologies: Open API, artificial intelligence, RPA, augmented reality and blockchain.
AI in Banking Industry and Effects on Customers.pdfCeyhun Jay Tugcu
From personalized recommendations to automated wealth management, AI is revolutionizing the customer experience in banking, offering convenience, efficiency, and improved financial well-being. This material delves into the transformative aspects of AI in banking and the ethical considerations and challenges that come with its adoption.
Application of artificial intelligence in banking venkat vajradhar - mediumvenkatvajradhar1
Digital disruption is about redefining industries and changing the way businesses operate. Each sector is evaluating options and adopting ways to create value in a technology-driven world. The banking sector is seeing exceptional changes: above all, an increase in customer-centricity.
At Finlytica Corporation, our mission is to make it easier for decision-makers to use powerful analytics every day, to shorten the path from data to insight – and to inspire bold new discoveries that drive improvement. We envision a world where everyone can make better decisions, grounded in trusted data, and assisted by the power and scale of Finlytica Advanced Analytics solutions.
Future of artificial intelligence in the banking sectorusmsystems
The banking sector is becoming an active adapter of artificial intelligence — exploring and implementing this technology in new ways. The penetration of artificial intelligence in the banking sector had been unnoticed and sluggish until the advent of the era of internet banking.
MTBiz is for you if you are looking for contemporary information on business, economy and especially on banking industry of Bangladesh. You would also find periodical information on Global Economy and Commodity Markets.
How Banking system benefits from AI.pptxGokulKanna18
Coddle Technologies provide a complete spectrum of software development services delivering innovative solutions for Startups, SMBs and Enterprises
For more information : https://www.coddletech.com/
banking sector is becoming an active adapter of artificial intelligence — exploring and implementing this technology in new ways. The entry of artificial intelligence into the banking sector was not recognized and slowed down until the era of Internet banking.
Digital Onboarding Made Easy with the Inception of AI-Based AlgorithmsSignzy
Today, customer's demands are increasing continuously for better digital banking experiences as they get in other industries. There are some reasons in which banks can focus to revolutionize the onboarding experience such as Digitize processes, indeed, Allow customers to bank anytime, Collect data once and Personalize experiences. for more details, visit Signzy today!
As impressive — or scary — as that might sound, artificial intelligence technologies aim to further revolutionize the way banking is done and the relationships between banks and their customers’ experience.
In today's banking landscape, customers are increasingly seeking digital solutions over traditional branch visits or lengthy phone calls with customer service representatives. They crave convenience and efficiency, and this is where chatbots in banking play a pivotal role. The conventional approach to customer interaction in banking can be arduous and tiresome. However, chatbots offer a modern alternative. Utilizing natural language processing and machine learning technologies, these chatbots facilitate seamless communication between customers and their banks. Read this presentation to know more.
Project Management Perspectives Successful Banking IT Solutions.pdfCeyhun Jay Tugcu
Whether it's implementing advanced cybersecurity measures, adopting agile methodologies, or undertaking core banking system transformations, the success of these endeavors hinges on meticulous project management.
Application of Artificial Intelligence in Indian Banking Opportunities and Ch...ijtsrd
Banking is the most important sector of any economy because it connects the most with government and public at large and also it protects the economy from any crises. Technology has brought tremendous change, it has made both positive and negative impact on every sector and banking sector is the most dynamic in technological transformation. Among the various technological transformations of recent, the birth of Artificial intelligence is particularly remarkable. AI is fast evolving as the go to technology for banking sectors across the world to personalise experience for individuals. With data analytics, block chain and machine learning, banks are advancing their services and offerings. The technology itself is getting better and smarter day by day, allowing more and newer banks to adopt the AI for various applications. Banking sector is becoming one of the first adopters of AI. And just like other segments, banks are exploring and implementing the technology in various ways. AI refers to computers having cognitive skills similar to humans, which could result in immense efficiency gains for banks and their clients alike. It is important to understand how AI can influence the Banking sector hence this paper is an attempt to understand the opportunities and challenges of Artificial intelligence for Indian banking sector. Prof. Mohammed Nawaz | Prof. Triveni. K | Prof. Bharathi. G. R "Application of Artificial Intelligence in Indian Banking-Opportunities and Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37964.pdf Paper URL : https://www.ijtsrd.com/computer-science/artificial-intelligence/37964/application-of-artificial-intelligence-in-indian-bankingopportunities-and-challenges/prof-mohammed-nawaz
The most prevalent trend in today’s
financial services industry is the shift to
digital, specifically mobile and online
banking. In the era of unprecedented
convenience and speed, consumers don’t
want to trek to a physical bank branch to
handle their transactions. While on the one
hand, banks are releasing new features to
attract more customers and retain the
existing ones, on the other hand, startups
and neo banks with disruptive banking
technologies are breaking into the scene.
The use of Artificial Intelligence (AI) in the
banking industry can revolutionize the way
banks operate and provide services to
their customers, improving eciency,
productivity, and customer experience.
Impact of Biometric Analytics in BSFI VerticalBahaa Abdulhadi
Explore the future of banking with #BiometricTechnology! Discover how it enhances security, streamlines services, and revolutionizes customer experience.
https://bahaaabdulhadi.com/biometric-analytics-in-bsfi-vertical/
#BankingInnovation #SecureBanking #BahaaAbdulHadi
Artificial Intelligence (AI) in customer service is one of the more prevalent examples of how this technology can truly transform an entire industry.
By 2030, we are most confident that the technology will have impacted process automation, including the elimination of simple tasks. Companies rate the anticipated impact on process automation at 3.96 on a scale of 0-5, with 0 representing “no impact” and 5 representing “major impact.”
Customer Service using AI and technology like machine learning (ML) to power decisions about the customer service journey and behind-the-scenes tasks that impact profit margins and efficiency. AI Solutions like BOTS easily recognize the voice triggers and provide relevant information and guidance without human agents.
AI in customer service makes human agents’ work much smoother by solving fundamental problems while support agents focus on complicated cases that require human knowledge, empathy, and attention.
As artificial intelligence becomes more advanced, customer service bots are becoming exceptionally fast learners. An AI bot can collect relevant data about customers and improve customer satisfaction, resulting in better customer service. Personalized and targeted support, fast response times, 24/7 availability, and multilingual support are some of the things that improve customer experience and bring new levels of customer loyalty.
To aid banking or financial operations, neobanks design digital programs or software. Companies use these technologies to regulate their financial approach.
Neobanks, a new breed of digital-first financial institutions, are redefining traditional banking by offering seamless user experiences, personalized services, and competitive rates.
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At Finlytica Corporation, our mission is to make it easier for decision-makers to use powerful analytics every day, to shorten the path from data to insight – and to inspire bold new discoveries that drive improvement. We envision a world where everyone can make better decisions, grounded in trusted data, and assisted by the power and scale of Finlytica Advanced Analytics solutions.
Future of artificial intelligence in the banking sectorusmsystems
The banking sector is becoming an active adapter of artificial intelligence — exploring and implementing this technology in new ways. The penetration of artificial intelligence in the banking sector had been unnoticed and sluggish until the advent of the era of internet banking.
MTBiz is for you if you are looking for contemporary information on business, economy and especially on banking industry of Bangladesh. You would also find periodical information on Global Economy and Commodity Markets.
How Banking system benefits from AI.pptxGokulKanna18
Coddle Technologies provide a complete spectrum of software development services delivering innovative solutions for Startups, SMBs and Enterprises
For more information : https://www.coddletech.com/
banking sector is becoming an active adapter of artificial intelligence — exploring and implementing this technology in new ways. The entry of artificial intelligence into the banking sector was not recognized and slowed down until the era of Internet banking.
Digital Onboarding Made Easy with the Inception of AI-Based AlgorithmsSignzy
Today, customer's demands are increasing continuously for better digital banking experiences as they get in other industries. There are some reasons in which banks can focus to revolutionize the onboarding experience such as Digitize processes, indeed, Allow customers to bank anytime, Collect data once and Personalize experiences. for more details, visit Signzy today!
As impressive — or scary — as that might sound, artificial intelligence technologies aim to further revolutionize the way banking is done and the relationships between banks and their customers’ experience.
In today's banking landscape, customers are increasingly seeking digital solutions over traditional branch visits or lengthy phone calls with customer service representatives. They crave convenience and efficiency, and this is where chatbots in banking play a pivotal role. The conventional approach to customer interaction in banking can be arduous and tiresome. However, chatbots offer a modern alternative. Utilizing natural language processing and machine learning technologies, these chatbots facilitate seamless communication between customers and their banks. Read this presentation to know more.
Project Management Perspectives Successful Banking IT Solutions.pdfCeyhun Jay Tugcu
Whether it's implementing advanced cybersecurity measures, adopting agile methodologies, or undertaking core banking system transformations, the success of these endeavors hinges on meticulous project management.
Application of Artificial Intelligence in Indian Banking Opportunities and Ch...ijtsrd
Banking is the most important sector of any economy because it connects the most with government and public at large and also it protects the economy from any crises. Technology has brought tremendous change, it has made both positive and negative impact on every sector and banking sector is the most dynamic in technological transformation. Among the various technological transformations of recent, the birth of Artificial intelligence is particularly remarkable. AI is fast evolving as the go to technology for banking sectors across the world to personalise experience for individuals. With data analytics, block chain and machine learning, banks are advancing their services and offerings. The technology itself is getting better and smarter day by day, allowing more and newer banks to adopt the AI for various applications. Banking sector is becoming one of the first adopters of AI. And just like other segments, banks are exploring and implementing the technology in various ways. AI refers to computers having cognitive skills similar to humans, which could result in immense efficiency gains for banks and their clients alike. It is important to understand how AI can influence the Banking sector hence this paper is an attempt to understand the opportunities and challenges of Artificial intelligence for Indian banking sector. Prof. Mohammed Nawaz | Prof. Triveni. K | Prof. Bharathi. G. R "Application of Artificial Intelligence in Indian Banking-Opportunities and Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37964.pdf Paper URL : https://www.ijtsrd.com/computer-science/artificial-intelligence/37964/application-of-artificial-intelligence-in-indian-bankingopportunities-and-challenges/prof-mohammed-nawaz
The most prevalent trend in today’s
financial services industry is the shift to
digital, specifically mobile and online
banking. In the era of unprecedented
convenience and speed, consumers don’t
want to trek to a physical bank branch to
handle their transactions. While on the one
hand, banks are releasing new features to
attract more customers and retain the
existing ones, on the other hand, startups
and neo banks with disruptive banking
technologies are breaking into the scene.
The use of Artificial Intelligence (AI) in the
banking industry can revolutionize the way
banks operate and provide services to
their customers, improving eciency,
productivity, and customer experience.
Impact of Biometric Analytics in BSFI VerticalBahaa Abdulhadi
Explore the future of banking with #BiometricTechnology! Discover how it enhances security, streamlines services, and revolutionizes customer experience.
https://bahaaabdulhadi.com/biometric-analytics-in-bsfi-vertical/
#BankingInnovation #SecureBanking #BahaaAbdulHadi
Artificial Intelligence (AI) in customer service is one of the more prevalent examples of how this technology can truly transform an entire industry.
By 2030, we are most confident that the technology will have impacted process automation, including the elimination of simple tasks. Companies rate the anticipated impact on process automation at 3.96 on a scale of 0-5, with 0 representing “no impact” and 5 representing “major impact.”
Customer Service using AI and technology like machine learning (ML) to power decisions about the customer service journey and behind-the-scenes tasks that impact profit margins and efficiency. AI Solutions like BOTS easily recognize the voice triggers and provide relevant information and guidance without human agents.
AI in customer service makes human agents’ work much smoother by solving fundamental problems while support agents focus on complicated cases that require human knowledge, empathy, and attention.
As artificial intelligence becomes more advanced, customer service bots are becoming exceptionally fast learners. An AI bot can collect relevant data about customers and improve customer satisfaction, resulting in better customer service. Personalized and targeted support, fast response times, 24/7 availability, and multilingual support are some of the things that improve customer experience and bring new levels of customer loyalty.
Similar to The Role of AI in Neobank Advancement.pdf (20)
To aid banking or financial operations, neobanks design digital programs or software. Companies use these technologies to regulate their financial approach.
Neobanks, a new breed of digital-first financial institutions, are redefining traditional banking by offering seamless user experiences, personalized services, and competitive rates.
Financial inclusion, the access and use of financial services by individuals and businesses, is a crucial aspect of promoting economic growth plus decreasing poverty defined Bahaa Abdul Hussein.
The emergence of insurtech (insurance+technology) companies has leveled the playing field for new entrants looking to enter this space by providing innovative solutions and offering innovative services.
يتعرض قطاع الخدمات المالية للتهديد المستمر بالاحتيال ، والذي من غير المرجح أن ينتهي. خلال جائحة COVID-19 وحدها، شهد هذا القطاع زيادة بنسبة 24٪ في الاحتيال. تتعرض المؤسسات المالية لضغوط لإيجاد الحل الصحيح للحد من هذا التهديد. يمثل الصراع تحديًا حيث يتعين على المؤسسات المالية الموازنة بين الاستخدام الحقيقي لبياناتها مع البقاء متوافقين تمامًا مع القطاع التنظيمي لتجنب الغرامات الكبيرة.
بهاء عبد الحسين خبير في التكنولوجيا المالية ويشارك تجاربه مع جمهوره من خلال مدوناته. في هذا المقال يناقش موضوع تطور البيانات في قطاع التكنولوجيا المالية في المرحلة المعاصرة.
خلق الاقتصاد والمنافسة في القطاع المالي سياقًا عالميًا يدفع البنوك إلى إنشاء إطار بيانات جديد يتناسب مع الاحتياجات الجديدة. يجب على المؤسسات المالية تجديد آليات الإبلاغ الخاصة بها، مع الموازنة بين التكلفة والجودة والإنتاج.
ببساطة، مركزية العميل تضع العميل في مركز كل عمليه تجري داخل عملك. إنه التأكد من أن كل قرار تتخذه – من تطوير المنتج إلى التسويق إلى خدمة العملاء – يعتمد على الأفضل لعملائك. ولا يتعلق الأمر فقط بإسعادهم ؛ يتعلق الأمر بإنشاء علاقات طويلة الأمد ستحولهم إلى دعاة لعلامتك التجارية.
تعتبر تقنية الامتثال أولوية قصوى للشركات هذه الأيام. يمكن أن تتخذ تقنية الامتثال العديد من الأشكال المختلفة، ولكن في جوهرها، يتعلق الأمر كله بإنشاء نظام يسهل على شركتك الوفاء بالتزاماتها. قد يتضمن ذلك تطوير برامج تساعدك على تتبع البيانات وإدارتها، أو تنفيذ سياسات وإجراءات تضمن الامتثال لمعايير القطاع. مهما كان الشكل الذي تتخذه، فإن تقنية الامتثال هي جزء أساسي من ممارسة الأعمال التجارية في العالم الحديث.
اكثر الأسئلة التي تم طرحها مؤخراً، خاصة في ضوء الركود الاقتصادي الأخير. مع فقدان الكثير من الناس لمنازلهم ووظائفهم، فلا عجب أن يتساءل الناس لماذا لا تزال البنوك التقليدية موجودة؟
جودة البيانات هي مقياس لمدى تلبية البيانات لاحتياجات الاستخدام المقصود. يمكن أن تكون البيانات رديئة الجودة لأسباب عديدة، بما في ذلك عدم الدقة والتناقضات والازدواجية والقيم المفقودة. غالبًا ما يتم تقييم جودة البيانات باستخدام معايير محددة، مثل الدقة والاكتمال وحسن التوقيت والأهمية. يمكن أن يمثل تحسين جودة البيانات تحديًا، ولكن من الضروري للشركات التي تعتمد على البيانات اتخاذ القرارات.يمكن أن تؤدي جودة البيانات الضعيفة إلى رؤى غير دقيقة واتخاذ قرارات، مما قد يؤثر في النهاية على أرباح الشركة. هناك العديد من الطرق لتحسين جودة البيانات، بما في ذلك تقنيات التطهير والتحقق. من خلال اتخاذ خطوات لتحسين جودة البيانات، يمكن للشركات التأكد من أنها تتخذ قرارات بناءً على المعلومات الأكثر دقة وحداثة.
يتم تطوير واعتماد تقنيات جديدة بمعدل لا يصدق. تمثل الشركات المالية الناشئة تحديًا للمؤسسات المالية القائمة. و ما زاد مستوى التحدي ايضاً هو مطالب المستهلكون بمنتجات وخدمات مالية أكثر ابتكارًا ومريحة وبأسعار معقولة. تخلق هذه الظروف العاصفة المثالية بما تحتويه من فرصًا وتحديات للشركات في قطاع التكنولوجيا المالية.
تتزايد أهمية معاملات الدفع الرقمية مع تحرك النظام المالي العالمي بعيداً عن استخدام السيولة. هذا يترجم إلى فرص إضافية لمقدمي خدمات الأمن السيبراني. تستكشف المؤسسات المصرفية ومؤسسات الدفع البنى التحتية والخدمات الأمنية الأحدث والأكثر فاعلية للتعامل مع المحتالين.هناك العديد من الإجراءات الأمنية إلى جانب استخدام الشبكات الافتراضية الخاصة، وهي التقنية الأكثر شيوعاً التي يستخدمها الأفراد والمؤسسات لتقليل مخاطر الجرائم الإلكترونية وتأمين البيانات.
يرى السيد بهاء عبد الحسين ان ظهور تقنيات جديدة يغير بسرعة السوق العالمية في مجال التمويل المالي. بسبب هذه التغييرات، يتطور العملاء أيضاً وينمو القطاع المصرفي بوتيرة غير مسبوقة. ولكن لا تزال هناك أجزاء كثيرة من العالم لا يملك فيها الكثير من الناس حسابات بنكية. من خلال المزيد من الشمول المالي، يمكن أن ينمو نطاق الخدمات المصرفية أكثر. يمكن القيام بذلك من خلال تقديم خدمات بسيطة مثل حسابات التوفير والائتمان لهؤلاء الناس بغض النظر عن مستوى دخلهم.
كيف تعمل الثورة الرقمية على تحويل قطاع صناعة الخدمات المصرفية والتأمين BFSI .pdfBahaa Abdul Hussein
شهدت آسيا ثورة رقمية في الخدمات المالية والمصرفية على مدى السنوات العشر الماضية وتلحق بسرعة بهذه الثورة. ونتيجة لذلك، أصبحت الإدارة المصرفية والمالية الآن أسهل وأكثر أمانًا للناس. نتيجة لذلك، تتغير الطريقة التي تتنافس بها الشركات وتعمل في هذا السوق.
يتم تطوير واعتماد تقنيات جديدة بمعدل لا يصدق. تمثل الشركات المالية الناشئة تحديًا للمؤسسات المالية القائمة. و ما زاد مستوى التحدي ايضاً هو مطالب المستهلكون بمنتجات وخدمات مالية أكثر ابتكارًا ومريحة وبأسعار معقولة. تخلق هذه الظروف العاصفة المثالية بما تحتويه من فرصًا وتحديات للشركات في قطاع التكنولوجيا المالية.
هناك احتمالات إذا كنت تقرأ هذا، فأنت صاحب عمل أو مدير مهتم (أو يجب أن يكون) بالأمن السيبراني. في عصر الرقمنة ليست الشركات الكبيرة فقط في خطر – يمكن اختراق أي شركة، مما قد يتسبب في أضرار مالية جسيمة. إذن ماذا يمكنك أن تفعل لتقليل ضعف شركتك ؟ إليك بعض النصائح.
DevOps and Testing slides at DASA ConnectKari Kakkonen
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Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
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Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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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.
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.
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.
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.
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/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
The Role of AI in Neobank Advancement.pdf
1. The Role of AI in Neobank Advancement
Neobanks, also referred to as digital banks or challenger banks, have disrupted the
traditional banking industry by offering innovative and customer-centric financial
services stated Bahaa Abdul Hussein. These fully digital institutions operate without
physical branches and leverage technology to provide seamless, personalized
banking experiences to their customers. The primary technology that drives their
success is artificial intelligence (AI).
AI plays a crucial role in neobanks by enabling personalized banking experiences
tailored to individual customers’ needs and preferences. Through AI-powered
algorithms and machine learning, neobanks can analyze vast amounts of customer
data, including transaction history, spending patterns, and financial goals, to
generate actionable insights. These insights help neobanks deliver personalized
recommendations, such as suitable financial products, budgeting advice, or
investment opportunities, enhancing the overall banking experience. Needless to say,
AI makes most things easier, and neobanks are not to be left out.
AI – Empowering Neobanks
AI empowers neobanks to automate various processes and provide efficient
self-service options to customers. Human error is minimized as AI-powered chatbots
and virtual assistants enable real-time customer support, allowing customers to get
instant responses to their queries or assistance with routine banking tasks. Natural
language processing capabilities enable these chatbots to understand and respond
to customer inquiries accurately, mimicking human-like interactions. This automation
reduces the need for human intervention, streamlines operations, and provides
customers with round-the-clock access to banking services.
AI and Security of Neobanks
AI also plays a significant role in enhancing security measures within neobanks.
Fraud detection and prevention systems powered by AI algorithms can analyze
customer behavior, transaction patterns, and other data points to identify potentially
fraudulent activities and flag suspicious transactions. This proactive approach helps
protect customer accounts and mitigate risks associated with cybercrime.
Helping Banking Systems in Customer Assessment
AI-driven credit scoring models enable neobanks to assess creditworthiness more
accurately and efficiently as well. By analyzing multiple data sources and factors
beyond traditional credit scores, AI algorithms can provide a more comprehensive
evaluation of a customer’s creditworthiness. This allows neobanks to extend credit
2. to underserved populations or individuals with limited credit histories, fostering
financial inclusion.
Concluding Lines
Neobanks use artificial intelligence to deliver personalized banking experiences and
streamline operations. AI enables neobanks to analyze customer data, generate
insights, automate processes, enhance security measures, and improve credit
assessment. By garnering the power of AI, neobanks provide customers with
convenient, tailored financial services that meet their specific needs. This sets them
apart from conventional banks and transforms the way banking is done in the digital
era.
Thank you for your interest in Bahaa Abdul Hussein blogs. For more information,
please visit www.bahaaabdulhussein.com