Making Analytics Actionable for Financial Institutions (Part I of III)Cognizant
To maximize ROI from their analytics platforms, financial institutions must build solutions that explicitly, visibly and sustainably enable real-time translation of data into meaningful and continuous improvements in their products, services, operating models and supporting infrastructures.
Adopting a Top-Down Approach to Model Risk Governance to Optimize Digital Tra...Jacob Kosoff
Model risk management programs often began their journey by first creating a definition of a model. Then model risk groups would perform model risk activities on each item that met the definition of a model. These model risk activities include classifying risk, assessing current uses, evaluating ongoing monitoring results, validating conceptual soundness, testing model changes, and so forth. This approach was an important beginning for the field of model risk management as it helped identify existing models, discover fundamental errors in existing models, and prevent inappropriate use of models. However, model risk teams often focused only on processes that already include models and did not identify processes that would be significantly improved by using models. This results in model risk teams overlooking modeling capabilities that a process truly needs. However, model risk teams can go on the offensive and use their model inventory as a source of crucial business intelligence. Model risk teams can start to identify processes that do not include models and could recommend the use of existing models to improve those processes. Furthermore, model risk teams can reduce expenses at a bank by guarding against the development or purchase of models with redundant capabilities. Model risk management teams can ultimately be a champion for the extensibility and efficient use of models at an institution. The article was written by Jacob Kosoff, Aaron Bridgers, and Henry Lee. The article was published by the RMA Journal in September 2020.
Credit Audit's Use of Data Analytics in Examining Consumer Loan PortfoliosJacob Kosoff
Written by Jacob Kosoff and published in September 2013 by the RMA Journal. This article describes banks in 2012 & 2013 were modernizing their Credit Review functions.
Customer segmentation for a mobile telecommunications company based on servic...Shohin Aheleroff
Competition between the mobile operators is becoming more based on subscriber’s behavior. In order to improve mobile operator’s competitiveness and customer value, several data mining technologies can be used.Most telecommunications carriers cluster their mobile customers by billing system data. This paper discusses how to cluster mobile customers based on their call detail records and analyze their consumer behaviors.
The environment of physical energy and non-energy commodity trading and marketing has grown increasingly complex, marked by globalization bringing about rapid changes in supply and demand patterns, increased regulatory scrutiny and evolving trading and reporting rules, volatility along the entirety of the physical supply chain, and increasing uncertainty as to future price movements. In order to react to these changes quickly and appropriately, participants in these markets must increasingly rely on a sophisticated infrastructure of software and technologies to ensure a complete view of their trading positions and external market conditions that can quickly and severely impact their values. The core component of these now requisite trading and marketing technologies are energy and commodity trading and risk management (CTRM) systems. As market complexity has increased and multi-commodity trading has become more common, CTRM solutions have had to become more sophisticated and provide a greater depth of capability in order to capture and value the unique characteristics of the multitude of physical commodities being transacted along the physical supply chain, from source to market. Given the capabilities of these CTRM systems, they do represent a significant investment for any trading or marketing organization, generally trailing only the large scale ERP solutions, like SAP, in terms of costs to purchase and implement. Allegro Development, one of the world’s largest CTRM solutions providers, engaged Commodity Technology Advisory to conduct a survey of a number of their clients to determine their views as to the value of their investment and the operational and financial impacts of deploying Allegro’s CTRM solution. This report summarizes the results of that survey and discusses the key considerations for any company seeking to develop their own assessment of the value of their CTRM technology investment via a Return on Investment (ROI) calculation.
How U.S. Telecoms Can More Effectively Convert Data to ForesightCognizant
In an intensely competitive industry, communication services providers are turning to analytics as a service to improve customer experience and avoid being outmaneuvered by competitors.
CTRM in the Cloud – Research and ReportCTRM Center
The data generated by our survey of the industry suggests that, in general, Energy and/or Commodity Trading and Risk Management (E/CTRM) buyers are increasingly open to considering alternatives to traditional “on- premises” implementation models including both SaaS and hosted in the cloud delivery. While a small, but committed, minority continue to resist anything but the traditional on-premises implementation approach, the overwhelming majority of respondents will consider SaaS/hosted in the cloud for a variety of vertical application areas in and around commodity trading.
Despite that finding, only 16% of those who responded to the survey actually utilize a SaaS or hosted in the cloud E/CTRM solution, and while the data strongly suggests a great deal of interest in the cloud for E/CTRM, it does indicate that the final procurement decision isn’t necessarily a slam-dunk in favor of the cloud. Though 54% of our respondents would consider a SaaS/hosted in the cloud alternative, there are indications that the final decision is still more likely to lean toward a traditional installation on-premises – at least for now. ComTech’s forecast growth rates of 15% per year for SaaS/hosted in the cloud solutions do seem to be reasonable but may accelerate in the future if a sufficient numbers of trading firms adopt the model, are successful with it and are willing to advocate the approach to their peers in the industry. Overall, this finding is in agreement with broader studies such as those conducted by Gartner that found that interest in cloud-based solutions is primarily in horizontal applications such as accounting, HR or billing; and that as a result of buyer concerns around integration and ability to customize, the uptake of cloud-based vertical applications like CTRM lags somewhat.
Making Analytics Actionable for Financial Institutions (Part I of III)Cognizant
To maximize ROI from their analytics platforms, financial institutions must build solutions that explicitly, visibly and sustainably enable real-time translation of data into meaningful and continuous improvements in their products, services, operating models and supporting infrastructures.
Adopting a Top-Down Approach to Model Risk Governance to Optimize Digital Tra...Jacob Kosoff
Model risk management programs often began their journey by first creating a definition of a model. Then model risk groups would perform model risk activities on each item that met the definition of a model. These model risk activities include classifying risk, assessing current uses, evaluating ongoing monitoring results, validating conceptual soundness, testing model changes, and so forth. This approach was an important beginning for the field of model risk management as it helped identify existing models, discover fundamental errors in existing models, and prevent inappropriate use of models. However, model risk teams often focused only on processes that already include models and did not identify processes that would be significantly improved by using models. This results in model risk teams overlooking modeling capabilities that a process truly needs. However, model risk teams can go on the offensive and use their model inventory as a source of crucial business intelligence. Model risk teams can start to identify processes that do not include models and could recommend the use of existing models to improve those processes. Furthermore, model risk teams can reduce expenses at a bank by guarding against the development or purchase of models with redundant capabilities. Model risk management teams can ultimately be a champion for the extensibility and efficient use of models at an institution. The article was written by Jacob Kosoff, Aaron Bridgers, and Henry Lee. The article was published by the RMA Journal in September 2020.
Credit Audit's Use of Data Analytics in Examining Consumer Loan PortfoliosJacob Kosoff
Written by Jacob Kosoff and published in September 2013 by the RMA Journal. This article describes banks in 2012 & 2013 were modernizing their Credit Review functions.
Customer segmentation for a mobile telecommunications company based on servic...Shohin Aheleroff
Competition between the mobile operators is becoming more based on subscriber’s behavior. In order to improve mobile operator’s competitiveness and customer value, several data mining technologies can be used.Most telecommunications carriers cluster their mobile customers by billing system data. This paper discusses how to cluster mobile customers based on their call detail records and analyze their consumer behaviors.
The environment of physical energy and non-energy commodity trading and marketing has grown increasingly complex, marked by globalization bringing about rapid changes in supply and demand patterns, increased regulatory scrutiny and evolving trading and reporting rules, volatility along the entirety of the physical supply chain, and increasing uncertainty as to future price movements. In order to react to these changes quickly and appropriately, participants in these markets must increasingly rely on a sophisticated infrastructure of software and technologies to ensure a complete view of their trading positions and external market conditions that can quickly and severely impact their values. The core component of these now requisite trading and marketing technologies are energy and commodity trading and risk management (CTRM) systems. As market complexity has increased and multi-commodity trading has become more common, CTRM solutions have had to become more sophisticated and provide a greater depth of capability in order to capture and value the unique characteristics of the multitude of physical commodities being transacted along the physical supply chain, from source to market. Given the capabilities of these CTRM systems, they do represent a significant investment for any trading or marketing organization, generally trailing only the large scale ERP solutions, like SAP, in terms of costs to purchase and implement. Allegro Development, one of the world’s largest CTRM solutions providers, engaged Commodity Technology Advisory to conduct a survey of a number of their clients to determine their views as to the value of their investment and the operational and financial impacts of deploying Allegro’s CTRM solution. This report summarizes the results of that survey and discusses the key considerations for any company seeking to develop their own assessment of the value of their CTRM technology investment via a Return on Investment (ROI) calculation.
How U.S. Telecoms Can More Effectively Convert Data to ForesightCognizant
In an intensely competitive industry, communication services providers are turning to analytics as a service to improve customer experience and avoid being outmaneuvered by competitors.
CTRM in the Cloud – Research and ReportCTRM Center
The data generated by our survey of the industry suggests that, in general, Energy and/or Commodity Trading and Risk Management (E/CTRM) buyers are increasingly open to considering alternatives to traditional “on- premises” implementation models including both SaaS and hosted in the cloud delivery. While a small, but committed, minority continue to resist anything but the traditional on-premises implementation approach, the overwhelming majority of respondents will consider SaaS/hosted in the cloud for a variety of vertical application areas in and around commodity trading.
Despite that finding, only 16% of those who responded to the survey actually utilize a SaaS or hosted in the cloud E/CTRM solution, and while the data strongly suggests a great deal of interest in the cloud for E/CTRM, it does indicate that the final procurement decision isn’t necessarily a slam-dunk in favor of the cloud. Though 54% of our respondents would consider a SaaS/hosted in the cloud alternative, there are indications that the final decision is still more likely to lean toward a traditional installation on-premises – at least for now. ComTech’s forecast growth rates of 15% per year for SaaS/hosted in the cloud solutions do seem to be reasonable but may accelerate in the future if a sufficient numbers of trading firms adopt the model, are successful with it and are willing to advocate the approach to their peers in the industry. Overall, this finding is in agreement with broader studies such as those conducted by Gartner that found that interest in cloud-based solutions is primarily in horizontal applications such as accounting, HR or billing; and that as a result of buyer concerns around integration and ability to customize, the uptake of cloud-based vertical applications like CTRM lags somewhat.
Stand on the Sidelines, or Boost Competitiveness? How to Make Bold Moves on t...Accenture Insurance
Sweeping changes across consumer behavior, technology innovations and big data are reshaping traditional insurance business models and what it takes to compete. The most successful insurers are the ones that will proactively adapt their game plan to the evolving environment and rules of competition. This piece explores three strategies to better position insurers for the future.
This article explores how financial institutions can provide effective risk management for qualitative models. Written by Jacob Kosoff, Ximena Zambrano, and Matthew Grayson.
Streamlining Submission Intake in Commercial Underwriting for Middle Market S...Cognizant
For many insurance carriers, data submission for intake is still a manual, time-consuming process that ultimately takes up valuable underwriter time better spent on risk selection and pricing. We offer a streamlined submission intake process for commercial insurance firms that integrate automated tools and manual prequalification to handle ACORD forms and other data formats.
Based on a survey of Dutch banking executives, we identify the strengths and weaknesses of payments operating models (including selective outsourcing) in a demanding, highly regulated business sector and recommend a customer-centric model.
Understanding and validating the uses of machine learning modelsJacob Kosoff
WHILE MACHINE LEARNING (ML) CAN OFFER THE BENEFIT OF IMPROVED MODEL RESULTS, A BANK SHOULD CONSIDER WHETHER IT IS APPROPRIATE TO ACCEPT THE ADDITIONAL COMPLEXITY, AS WELL AS THE TESTING AND MONITORING, INVOLVED. THIS ARTICLE DISCUSSES BEST PRACTICES IN PERFORMING VALIDATIONS OF MACHINE LEARNING MODELS.
Written by Shannon Kelly of Zions Bank, Jacob Kosoff of Regions Bank, Agus Sudjianto of Wells Fargo, and Aaron Bridgers of Regions Bank.
How Insurers Can Harness Artificial IntelligenceCognizant
Once science fiction, artificial intelligence now holds vast potential for insurers interested in reinventing their business models and transforming customer experience.
In depth: New financial instruments impairment modelPwC
On June 16, 2016, the FASB issued Accounting Standards Update 2016-13, Financial Instruments – Credit Losses (Topic 326) (the “ASU”). The ASU introduces a new model for recognizing credit losses on financial instruments based on an estimate of current expected credit losses. The new model will apply to: (1) loans, accounts receivable, trade receivables, and other financial assets measured at amortized cost, (2) loan commitments and certain other off-balance sheet credit exposures, (3) debt securities and other financial assets measured at fair value through other comprehensive income, and (4) beneficial interests in securitized financial assets.
Like the rest of the financial services industry, insurers are subject to increasingly complex and prescriptive regulations and standards. In the year ahead, insurers will need to focus on the new U.S.Department of Labor fiduciary standard, which is likely to have a significant effect on how insurance products are sold. Moreover, global developments, especially those related to the developing International Capital Standard, will require insurers to closely monitor – and ideally contribute to – official discussions about how globally active insurers should manage capital
Digitizing Insurance - Transforming Legacy Systems to Adopt Modern and Emergi...RapidValue
This paper explains how insurers can use the digitization (digitalization) opportunity to deliver greater value to their customers. It is also, revealed how the companies can gain competitive advantage. Insurers are able to engage more intensely with the existing customers and also, attract newer customers with the help of innovative products. Digitizing improves profitability and facilitates growth.
AP & Working Capital – Increasing Revenues from Early PaymentsTradeshift
If you're not capturing supplier discounts because you can't pay your invoices fast enough, this report is just right for you.
PayStream Advisors recently surveyed about 300 AP and finance professionals, analyzed the results, and put together great ideas on how to make early payment programs work for you. This free report will show you how to:
- Utilize the right accounts payable practices to make perfectly timed payments
- Earn annual returns as high as 36% on available cash
- Select the right dynamic discounting solution
Kickstart your early payment program and download the report now.
Big Data Monetization - The Path From Internal to ExternalcVidya Networks
"How can big data help us accelerate external monetization?"
A presentation by Hezi Zelevski, VP Corporate Development at cVidya
Presented in the " Monetizing Big Data in Telecoms World Summit 2015" conference in Singapore on April 20-21, 2015
Stand on the Sidelines, or Boost Competitiveness? How to Make Bold Moves on t...Accenture Insurance
Sweeping changes across consumer behavior, technology innovations and big data are reshaping traditional insurance business models and what it takes to compete. The most successful insurers are the ones that will proactively adapt their game plan to the evolving environment and rules of competition. This piece explores three strategies to better position insurers for the future.
This article explores how financial institutions can provide effective risk management for qualitative models. Written by Jacob Kosoff, Ximena Zambrano, and Matthew Grayson.
Streamlining Submission Intake in Commercial Underwriting for Middle Market S...Cognizant
For many insurance carriers, data submission for intake is still a manual, time-consuming process that ultimately takes up valuable underwriter time better spent on risk selection and pricing. We offer a streamlined submission intake process for commercial insurance firms that integrate automated tools and manual prequalification to handle ACORD forms and other data formats.
Based on a survey of Dutch banking executives, we identify the strengths and weaknesses of payments operating models (including selective outsourcing) in a demanding, highly regulated business sector and recommend a customer-centric model.
Understanding and validating the uses of machine learning modelsJacob Kosoff
WHILE MACHINE LEARNING (ML) CAN OFFER THE BENEFIT OF IMPROVED MODEL RESULTS, A BANK SHOULD CONSIDER WHETHER IT IS APPROPRIATE TO ACCEPT THE ADDITIONAL COMPLEXITY, AS WELL AS THE TESTING AND MONITORING, INVOLVED. THIS ARTICLE DISCUSSES BEST PRACTICES IN PERFORMING VALIDATIONS OF MACHINE LEARNING MODELS.
Written by Shannon Kelly of Zions Bank, Jacob Kosoff of Regions Bank, Agus Sudjianto of Wells Fargo, and Aaron Bridgers of Regions Bank.
How Insurers Can Harness Artificial IntelligenceCognizant
Once science fiction, artificial intelligence now holds vast potential for insurers interested in reinventing their business models and transforming customer experience.
In depth: New financial instruments impairment modelPwC
On June 16, 2016, the FASB issued Accounting Standards Update 2016-13, Financial Instruments – Credit Losses (Topic 326) (the “ASU”). The ASU introduces a new model for recognizing credit losses on financial instruments based on an estimate of current expected credit losses. The new model will apply to: (1) loans, accounts receivable, trade receivables, and other financial assets measured at amortized cost, (2) loan commitments and certain other off-balance sheet credit exposures, (3) debt securities and other financial assets measured at fair value through other comprehensive income, and (4) beneficial interests in securitized financial assets.
Like the rest of the financial services industry, insurers are subject to increasingly complex and prescriptive regulations and standards. In the year ahead, insurers will need to focus on the new U.S.Department of Labor fiduciary standard, which is likely to have a significant effect on how insurance products are sold. Moreover, global developments, especially those related to the developing International Capital Standard, will require insurers to closely monitor – and ideally contribute to – official discussions about how globally active insurers should manage capital
Digitizing Insurance - Transforming Legacy Systems to Adopt Modern and Emergi...RapidValue
This paper explains how insurers can use the digitization (digitalization) opportunity to deliver greater value to their customers. It is also, revealed how the companies can gain competitive advantage. Insurers are able to engage more intensely with the existing customers and also, attract newer customers with the help of innovative products. Digitizing improves profitability and facilitates growth.
AP & Working Capital – Increasing Revenues from Early PaymentsTradeshift
If you're not capturing supplier discounts because you can't pay your invoices fast enough, this report is just right for you.
PayStream Advisors recently surveyed about 300 AP and finance professionals, analyzed the results, and put together great ideas on how to make early payment programs work for you. This free report will show you how to:
- Utilize the right accounts payable practices to make perfectly timed payments
- Earn annual returns as high as 36% on available cash
- Select the right dynamic discounting solution
Kickstart your early payment program and download the report now.
Big Data Monetization - The Path From Internal to ExternalcVidya Networks
"How can big data help us accelerate external monetization?"
A presentation by Hezi Zelevski, VP Corporate Development at cVidya
Presented in the " Monetizing Big Data in Telecoms World Summit 2015" conference in Singapore on April 20-21, 2015
2012 Jeep Wrangler For Sale TX | Jeep Dealer Near AustinMichael Kinney
2012 Jeep Wrangler brochure provided by Mac Haik Dodge Chrysler Jeep near Austin. Find the 2012 Jeep Wrangler for sale in Texas. Call us about our current sales and incentives at (888) 701-6374. http://www.machaikonline.com
TEMPO is a vibrant and youthful magazine; in layout, content and spirit. Brimming with community, music, fashion, art, food, lifestyle and innovation.
Abu Dhabi, UAE · http://www.tempoplanet.com
Cloud Enabled Transformation In InsuranceCapgemini
Immature capabilities and growing market disruptors are compelling insurers to act swiftly and become fully customer centric. According to the World Insurance Report 2015 less than 30% of customers are having positive customer experiences globally forcing Insurers to reinvent their ability to deliver positive customer experience across the entire customer journey.
Capgemini's ACEs (All Channel Experience) for Insurance is built on Salesforce the leading CRM platform to help insurers improve their core capabilities and enrich customer experiences regardless of customer channel or device preferences.
Find out how Cloud-Enabled Transformation in Insurance from Capgemini and Salesforce is a faster and less disruptive way for insurers to rapidly evolve digital capabilities to achieve customer experiences that leave your customers wanting more!
How a Predictive Analytics-based Framework Helps Reduce Bad Debts in Utilities WNS Global Services
The utilities industry has been riddled with payment delinquencies for the past several years, forcing utility companies to trade off profits for survival, and give up on their rightful revenue by taking the ‘write-off’ route. An ‘integrated three-pronged revenue protection strategy’ aids utility companies in effectively minimizing bad debt write-offs. Predictive analytics lays the foundation for this strategy by enabling customer segmentation, revising collections tactics and enhancing customer satisfaction interventions.
Analytics is a two-sided coin. While on one side, it uses
descriptive and predictive models to gain valuable knowledge from data, i.e. data analysis, on the other side, it provides insight to recommend action or guide decision making, i.e. communication
Property & Casualty Commercial Lines Underwriting: The New PlaybookCognizant
P&C commercial lines carriers are experiencing a global transformation that will compel them to reexamine their operating models, implement direct-to-consumer strategies, reengineer their processes and technologies, and achieve and sustain profitable growth in the age of digital.
INTEGRATION OF MACHINE LEARNING TECHNIQUES TO EVALUATE DYNAMIC CUSTOMER SEGME...IJDKP
The telecommunications industry is highly competitive, which means that the mobile providers need a
business intelligence model that can be used to achieve an optimal level of churners, as well as a minimal
level of cost in marketing activities. Machine learning applications can be used to provide guidance on
marketing strategies. Furthermore, data mining techniques can be used in the process of customer
segmentation. The purpose of this paper is to provide a detailed analysis of the C.5 algorithm, within naive
Bayesian modelling for the task of segmenting telecommunication customers behavioural profiling
according to their billing and socio-demographic aspects. Results have been experimentally implemented.
Reshaping Underwriting Landscape With Focussing On CX – WhitepaperIndusNetMarketing
80% of customers lost interest in buying life insurance due to the poor underwriting process. These top 3 strategic solutions are imperative to enhance CX.
Data-Centric Insurance: How the London market can embrace analytics and regai...Accenture Insurance
The London Market has a long tradition of excellence in the
actuarial analysis of premiums and claims data, but it has not
yet embraced the analytics revolution seen in other industries.
For the London Market to remain globally competitive, it must
re-establish its pre-eminence regarding the use of data.
Insuring the insurance business with actionable analyticsWNS Global Services
The Insurance Industry is faced with a myriad of challenges such as a need to manage costs better, keep update with stringent regulations and the ever increasing demands from consumers. Analytics can play a vital role in assisting Insurance Executives navigate the technical and operational complexities to accelerate the growth of the industry.
Covering key aspects like Reporting, Descriptive or the advanced Predictive and Prescriptive analytics, this Whitepaper “Insuring the Insurance Business with Actionable Analytics” examines a complete view on how analytics can transform the insurance business to create value for all stakeholders.
Pinnacle digital advisors -How U.S.Telecoms Can More Effectively Convert Data...sangeetk072
Pinnacle Digital Products ,Pinnacle digital advisors,,Pinnacle digital is the leading provider of next generation network and customer analytics solutions
http://pinnacledigital.in/index.html
Predictive analytics. overview of skills and opportunitiesFarid Gurbanov
Predictive Analytics could bring benefits virtually to any data-intensive and knowledge-intensive organization. With integration into existing business processes and applications it gives plenty of powerful opportunities. In this brief presentation I outline my experience and skills in data analytics.
Fixing the Insurance Industry: How Big Data can Transform Customer SatisfactionCapgemini
Insurers are facing a moment of truth. Customer satisfaction levels have hit worryingly low levels. According to a survey conducted by Capgemini in 2014, less than a third of customers globally are satisfied with the services of their insurance providers. Traditional insurers also face competition from new entrants who are determined to meet customer expectations. Non-traditional competitors, such as ecommerce majors and technology startups, are leveraging their data-rich customer interactions to create and sell insurance products.
Surprisingly, insurers seem to have overlooked the impact of Big Data on improving customer experience as they often focus their Big Data efforts on detecting fraudulent claims and improving underwriting profitability. In fact, only 12% of insurers consider the enhancement of customer experience as a top Big Data priority. This is startling given the poor levels of customer satisfaction in the insurance industry. In this research, we examine how insurers can effectively leverage customer data to improve customer satisfaction.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
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.
"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.
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/
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
Frost&Sullivan Report: Business Analytics
1. 25 January 2013
Mobile Customer On-Boarding: Telenet (Belgium)
Minimizes Risksize and position text box tothrough
Report Title – and Increases Opportunity center
Purpose-Built Analytics
Report Title in the blue bar
Stratecast Analysis by
Karl Whitelock
Stratecast Perspectives & Insight
for Executives (SPIE)
Volume 13, Number 03