Data management requirements for the 2018 regulatory agenda
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The 2018 regulatory agenda is probably the most onerous ever faced by financial institutions, with everything from Markets in Financial Instruments Directive II (MiFID II) to Markets in Financial Instruments Regulation (MiFIR), General Data Protection Regulation (GDPR), Packaged Retail and Insurance based Investment Products (PRIIPs) and Benchmarks Regulation coming into play. Add the January 2019 deadline for Fundamental Review of the Trading Book (FRTB) regulation and the compliance challenge becomes even more daunting. The webinar will discuss regulatory data management requirements, identify compliance solutions and consider the potential extent of strategic approaches to regulation. Join the webinar to find out about: -The regulatory agenda -Data management challenges -Technology solutions -Strategic approaches -Beneficial outcomes
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Data Analytics: An On-Ramp to a Better Understanding of Your Business
Data analytics is a hot topic in business today. But is it right for your business? What does it do for you, and most importantly, how do you get started? This executive overview explores the business implications of data analytics, while leaving the technicalities to the side.
Reinventing the Modern Information Pipeline: Paxata and MapR
(Presented at MapR's Big Data Everywhere event in Redwood City, CA in December 2016)
The relationship between business teams and IT has changed as the complexity of data has increased. A traditional data pipeline designed for an IT-centered approach to information management is not designed for the data demands of today's business decisions. Designing a big data strategy requires modernizing previous approaches. Self-service data preparation in a collaborative, intuitive, governed, and secure environment is the key to a nimble and decisive business unit.
191017 scamander non invasive data governance - with link to movie with bob s...
This document outlines an approach to data governance called Non-Invasive Data Governance. It discusses how traditional data governance can be challenging due to complexity, lack of commitment, and cultural issues. Non-Invasive Data Governance seeks to formalize existing best practices and establish authority by joining existing meetings and councils rather than creating new roles. It emphasizes that data stewardship is not a new position but something everyone can contribute to. The presentation encourages starting small by seeking out best practices, formalizing roles and responsibilities, solving data issues, and planning communications.
Data Science Capability Framework
The document is a draft data science capability framework created by Craig C. Milroy, Chief Data Architect. The framework outlines various data science capabilities across several areas including lab management, languages, applications, visualization, data management, data processing, and analytics. Specific techniques mentioned include R, Python, Scala, Java, notebooks, dashboards, data services, data preparation, machine learning, deep learning, and natural language processing among others.
Chief Data Officer: DataOps - Transformation of the Business Data Environment
Data is now not only considered as an Asset for Competitive Advantage; but now a Strategic Asset for Competitive Survival. ..
The Chief Data Officer will lead the transformation of the Business Data Environment to enable DataOps. . .
Leveraging DataOps will enable the timely creation of “Data Products” for the Enterprise. .
5 top reasons why data governance needs to business success
The data governance approach is a combination of processes and practices which help to ensure the management od data assets within an organization and enterprise.
What You Don’t Know May Hurt You – Achieving Insight and Knowledge Discovery
Think you are too busy and solutions too expensive? Take another look at how text analytics and mining can boost your bottom line, through insight and knowledge discovery. The technique is simple and the results will probably surprise you.
Stay one step ahead of the competition and find out what’s really in your content. Guest speaker Russ Stalters, information management strategist and former BP executive, explores real-life knowledge discovery scenarios, and discusses the significant return on investment achieved.
This session provides an overview of text analytics and mining, and how the appropriate solution can be used to extract and refine the dataset, by business professionals with no expertise in programming languages or databases.
The ease of use makes this concept-based searching solution ideal for organizations with analysts and knowledge workers, who need to capture live information to address issues and develop opportunities, and are not technically oriented.
Speakers:
Russ Stalters – Information Management Strategist at Clear Path Solutions
Carla Mulley – Vice President of Marketing at Concept Searching
Data Architecture Strategies Webinar: Emerging Trends in Data Architecture – ...
A robust data architecture is at the core what’s driving today’s innovative, data-driven organizations. From AI to machine learning to Big Data – a strong data architecture is needed in order to be successful, and core fundamentals such as data quality, metadata management, and efficient data storage are more critical than ever.
With the vast array of new technologies available to support these trends, how do you make sense of it all? Our panel of experts will offer their perspectives on how the latest trends in data architecture can support your organization’s data-driven goals.
How to make data valuable
The document discusses how organizations can increase the value of their data through establishing an information architecture, empowering employees to make smarter use of data, and investing in data-driven decision making. It recommends focusing on teamwork between business and IT, breaking down data silos, choosing suitable analytical software, and improving processes. Related studies highlight the importance of data accessibility and quality for digital transformation and decreasing operating costs. The document invites connecting to discuss practical implementation.
What's hot (20)
RWDG Slides: Three Ways to Manage Your Data Stewards
RWDG Slides: Three Ways to Manage Your Data Stewards
Webinar: Data Quality, Data Engineering, and Data Science
Webinar: Data Quality, Data Engineering, and Data Science
Understanding the Data You Have Before Applying a Governance Strategy
Understanding the Data You Have Before Applying a Governance Strategy
Analytics, Business Intelligence, and Data Science - What's the Progression?
Analytics, Business Intelligence, and Data Science - What's the Progression?
Data Analytics: An On-Ramp to a Better Understanding of Your Business
Data Analytics: An On-Ramp to a Better Understanding of Your Business
Reinventing the Modern Information Pipeline: Paxata and MapR
Reinventing the Modern Information Pipeline: Paxata and MapR
191017 scamander non invasive data governance - with link to movie with bob s...
191017 scamander non invasive data governance - with link to movie with bob s...
Chief Data Officer: DataOps - Transformation of the Business Data Environment
Chief Data Officer: DataOps - Transformation of the Business Data Environment
5 top reasons why data governance needs to business success
5 top reasons why data governance needs to business success
What You Don’t Know May Hurt You – Achieving Insight and Knowledge Discovery
What You Don’t Know May Hurt You – Achieving Insight and Knowledge Discovery
Data Architecture Strategies Webinar: Emerging Trends in Data Architecture – ...
Data Architecture Strategies Webinar: Emerging Trends in Data Architecture – ...
Similar to Data management requirements for the 2018 regulatory agenda
Using metrics to measure data quality
Measuring data quality is on the data management agenda at many financial firms as they seek to reduce operational costs, meet regulatory requirements and identify new product potential. The webinar will consider how metrics can be implemented to provide meaningful measures of data quality that can be used across the firm, solutions for data quality measurement, and the outcomes of successful metrics projects implemented by data management practitioners.
Join the webinar to find out about:
-Challenges of data quality
-Requirements for data quality metrics
-Best practice implementation
-Technology solutions
-User experiences
General Data Protection Regulation: Where are we now?
The compliance deadline for General Data Protection Regulation (GDPR) is approaching fast, so what operational changes should you be prioritising now and how can you implement data management to support these changes? Also, what are the most complex issues outstanding, are more problems expected to emerge once GDPR is in action, and how can these issues be resolved? The webinar will delve into the complexities of GDPR and come up with some solutions for compliance.
Listen to the webinar to find out about:
-Industry progress on GDPR
-Outstanding challenges
-Best practice approaches
-Technology solutions
-Regulatory conflicts
Making the most of data management utilities
The potential benefits of using a data management utility include improved data accuracy, quality, consistency and timeliness – as well as the possibility to reduce costs. Considering these benefits, which play well into regulatory compliance, how can they be maximised and how could your organisation make the most of working with a data management utility? The webinar will review utility services, discuss how a utility could be implemented to help your organisation improve data quality and reduce costs, and take a look at next stage developments of data management utilities.
Join the webinar to find out about:
-The utility offer for data management
-Data quality gains and cost reductions
-How to implement a utility
-How to maximise benefits
-Next stage developments
Get to grips with FRTB data and data management requirements
The Fundamental Review of the Trading Book (FRTB) sets out a revised market risk framework and proposals to improve capital requirements. Although the regulation’s compliance deadline is 18 months away and some details have yet to be finalised, financial institutions need to be preparing now as FRTB is complex, presents significant data management challenges and could have a considerable impact on trading desks.
Join the webinar to find out about:
-State of play on FRTB
-Key data management challenges
-Approaches to compliance
-Technology solutions
-Impact on trading desks
MiFID II: Meeting the Requirement for Legal Entity Identifiers (LEIs)
The document summarizes an upcoming webinar on meeting the requirements for Legal Entity Identifiers (LEIs) under the MiFID II regulation. It provides details on the panel members and their areas of expertise related to LEIs. It also lists the talking points that will be covered in the webinar, including key elements of MiFID II requiring LEIs, current status of LEI adoption, challenges of the MiFID II LEI mandate, and implications of varying adoption rates globally. The webinar aims to help participants address the LEI requirements under the new regulation.
Trends in Data Analytics - From Database to Analyst
How are the tools and skills needed for data analytics changing? Why has there been an expansion of the databases used in data analytics to the new class of NoSQL to handle the volumes, variety, and velocity of big data. What are the new roles in big data analytics and why have they come about?
This presentation will answer these questions and more through a discussion of:
New technologies to handle Big Data volumes – scalability
The rise of NoSQL databases – graph, document, key value, columnar
New technologies to handle Big Data velocity – in-memory, streaming, etc.
New roles in data analytics – Data Scientists, Data Engineers
Putting data management processes in place for MiFID II
The January 2018 compliance deadline for Markets in Financial Instruments Directive II (MiFID II) is approaching fast, so how ready are financial institutions to meet the directive’s requirements, what data management processes should they be prioritising to ensure compliance, and what outstanding challenges do they face? Also, what do regulators expect firms to have in place by the compliance deadline?
Join the webinar to find out about:
-State of play on MiFID II
-Priority data management processes
-Outstanding data challenges
-Regulators’ expectations
-Benefits of compliance
Trends for Modernizing Analytics and Data Warehousing in 2019
Brand new research published from Dresner Advisory Services digs deeply into the trends in 2018 around big data analytics.
The Big Data Revolution: The Next Generation of Finance
- The document discusses how big data is revolutionizing the financial services industry by providing access to large volumes of new data sources. It describes how big data can provide opportunities for CFOs to play a greater strategic role through data-driven decision making, risk management, and discovering new business opportunities.
- Transforming into a big data-driven organization requires adopting a new data operating model, developing leading-edge IT architectures, and instilling a culture of innovation. This allows CFOs to realize tangible cost savings while gaining strategic insights.
Converging your data landscape
How Data-Driven Approaches are Changing Your Data Management Strategies
Introducing data-driven strategies into your business model alters the way your organization manages and provides information to your customers, partners and employees. Gone are the days of “waterfall” implementation strategies from relational data to applications within a data center. Now, data-driven business models require agile implementation of applications based on information from all across an organization–on-premises, cloud, and mobile–and includes information from outside corporate walls from partners, third-party vendors, and customers. Data management strategies need to be ready to meet these challenges or your new and disruptive business models will fail at the most critical time: when your customers want to access it.
The Data & Analytics Journey – Why it’s more attainable for your company than...
Presented at CampIT Conference on April 13th, 2017 ( http://campconferences.com/events/2017/intelligence.htm )
The typical perception of Big Data, Analytics, and Predicative/AI is that only the big companies can reap the benefits. Many believe they need a data warehouse, expensive reporting software, and an army of data scientists to get any value out of effort and cost. This session will explore and debunk that myth and showcase how companies of any size can participate in the journey. While there are many maturity models and journey maps available, most are not designed to be practical guides to solving common business problems. Because of the explosion in availability in cloud services, the barrier to entry has eroded significantly. During this session, we will look at some practical steps to access these capabilities and provide examples to where market-leading and growth companies have seen large benefits. Attendees will walk away with broader understanding of what’s possible to move their company through the journey in 2017.
Leveraging data analytics for added value
Data analytics are embedded in financial services firms, supporting tasks such as customer satisfaction monitoring and regulatory compliance. They are also becoming more sophisticated, with solutions such as predictive, real-time and Big Data analytics delivering more detailed actionable insights at speed. The webinar will discuss the potential of data analytics and how best they can be implemented to deliver added value on an ongoing basis.
Join the webinar to find out about:
-Data analytics use cases
-Data management challenges
-Technology solutions
-Best practice deployment
-Gaining added value
DAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
As more organizations see the value of becoming data-driven, an increasing number of business stakeholders want to become more actively involved in the reporting and preparation of critical business data. Tools and technologies have evolved to support this desire, and the ability to manage and analyze vast amounts of disparate data has become more accessible than ever before. With this increased visibility and usage of data, the need for data quality, metadata context, lineage and audit, and other core fundamental best practices is greater than ever.
How can an effective architecture & governance model be created that supports both business agility, as well as long-term sustainability and risk reduction? Where do these responsibilities lie between business and IT stakeholders? Join our panel of experts as they discuss the latest best practices, architectures, and tools that support self-service reporting and data prep to maximize benefits while at the same time reducing risk.
Procurement in 2017: The Road Ahead
Andrew Bartolini, Chief Research Officer at Ardent Partners, reflects back on the past year and presents a clear directive for procurement organizations looking to improve outcomes in 2017, providing benchmark data based on an annual survey to over 330 procurement executives.
SlideshareData management implications of the Fundamental Review of the Tradi...
Fundamental Review of the Trading Book (FRTB) is two years away. Significant data management changes and challenges presented by the regulation call for an early start on implementation. The webinar will discuss the challenges of FRTB and provide practical guidance on how best to achieve efficient and effective compliance.
Join the webinar to find out about:
- The requirements of FRTB
- Data management challenges
- Best practice approaches
- Benefits of compliance
- Expert implementation guidance
Data strategy in a Big Data world
Which comes first the chicken or the egg? Or better yet The Data Strategy or the Chief Data Officer? A guide to a data strategy in a Big Data world.
DataDevOps - A Manifesto on Shared Data Responsibility in Times of Microservices
A talk by Sebastian Herold (Scout24) and Arif Wider (ThoughtWorks)
Abstract:
More and more companies successfully migrate their monolithic applications to a Microservices architecture. However, maintaining a consistent and usable data landscape has only become more challenging by this: unstructured data, huge amounts of data, and hundreds of data sources. Having a centralized data team does not scale in this setting as it becomes the bottleneck between application developers and business analysts.
We created a Data Manifesto of seven principles which break with traditional role separations and show a path how to deal with distributed data in a federal and scalable fashion. This leads to DataDevOps: a culture where application developers also own their data. Learn about the experiences we made with facilitating this cultural transformation at Scout24, the provider of Europe’s largest online markets for cars and real estate.
Building Your DPIA/PIA Program: Tips & Case Studies [TrustArc Webinar Slides]
Watch the webinar on-demand: https://info.trustarc.com/building-pia-dpia-program-webinar.html
DPIA/PIA guidance, tips for success and case studies from the field.
The GDPR mandates Privacy by Design and requires documented Data Protection Impact Assessments (DPIAs) for high risk processing. How can you build this into a sustainable program across your business? Having a good understanding of what DPIA/PIAs are and how to implement them can be the key to embedding privacy in the heart of your organization as well as achieving GDPR compliance.
Watch this webinar on-demand to:
- Hear PIA best practices
- Review GDPR compliance requirements
- Receive a range of tips and tools to help streamline and embed the process
- Hear how Volvo Financial Services has approached assessments across their organization
To register for upcoming/on-demand webinars visit: https://www.trustarc.com/events/webinar-schedule/
The Business Value of Metadata for Data Governance
In today’s digital economy, data drives the core processes that deliver profitability and growth - from marketing, to finance, to sales, supply chain, and more. It is also likely that for many large organizations much of their key data is retained in application packages from SAP, Oracle, Microsoft, Salesforce and others. In order to ensure that their foundational data infrastructure runs smoothly, most organizations have adopted a data governance initiative. These typically focus on the people and processes around managing data and information. Without an actionable link to the physical systems that run key business processes, however, governance programs can often lack the ‘teeth’ to effectively implement business change.
Metadata management is a process that can link business processes and drivers with the technical applications that support them. This makes data governance actionable and relevant in today’s fast-paced and results-driven business environment. One of the challenges facing data governance teams however, is the variety in format, accessibility and complexity of metadata across the organization’s systems.
How to Scale BI and Analytics with Hadoop-based Platforms
You’re using Apache Hadoop and cloud-based data platforms, but can your BI and analytics tools keep up? Can you provide fast, secure, self-service access to all the data business users want?
Analyzing big data poses multiple challenges. Highly parallel distributed data architecture is one solution, but until recently it has been mostly limited to databases, not business intelligence (BI) application servers.
Join this informative webinar with guest speaker Boris Evelson, VP and principal analyst at Forrester Research, and Priyank Patel, co-founder and chief product officer at Arcadia Data. Enterprise architects, data scientists, and application development and delivery (AD&D) pros will learn:
What is a distributed BI platform? How is it different from existing BI tools?
How to scale BI and visual analytics for users without moving data
What features matter most for distributed BI platforms for Hadoop
How to unify security natively in Hadoop without more administration
Similar to Data management requirements for the 2018 regulatory agenda (20)
General Data Protection Regulation: Where are we now?
General Data Protection Regulation: Where are we now?
Get to grips with FRTB data and data management requirements
Get to grips with FRTB data and data management requirements
MiFID II: Meeting the Requirement for Legal Entity Identifiers (LEIs)
MiFID II: Meeting the Requirement for Legal Entity Identifiers (LEIs)
Trends in Data Analytics - From Database to Analyst
Trends in Data Analytics - From Database to Analyst
Putting data management processes in place for MiFID II
Putting data management processes in place for MiFID II
Trends for Modernizing Analytics and Data Warehousing in 2019
Trends for Modernizing Analytics and Data Warehousing in 2019
The Big Data Revolution: The Next Generation of Finance
The Big Data Revolution: The Next Generation of Finance
The Data & Analytics Journey – Why it’s more attainable for your company than...
The Data & Analytics Journey – Why it’s more attainable for your company than...
DAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
DAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
SlideshareData management implications of the Fundamental Review of the Tradi...
SlideshareData management implications of the Fundamental Review of the Tradi...
DataDevOps - A Manifesto on Shared Data Responsibility in Times of Microservices
DataDevOps - A Manifesto on Shared Data Responsibility in Times of Microservices
Building Your DPIA/PIA Program: Tips & Case Studies [TrustArc Webinar Slides]
Building Your DPIA/PIA Program: Tips & Case Studies [TrustArc Webinar Slides]
The Business Value of Metadata for Data Governance
The Business Value of Metadata for Data Governance
How to Scale BI and Analytics with Hadoop-based Platforms
How to Scale BI and Analytics with Hadoop-based Platforms
More from Leigh Hill
Data Science & Analytics – New approaches and capabilities for driving busine...
Financial institutions are under pressure to maximise the insight they can derive from their data. With data spread across multiple silos and stored in both structured and unstructured formats, embedding analytics into business processes can be difficult and calls for new approaches to data management.
Open source database and data processing technologies, as well as machine learning techniques including Natural Language Processing (NLP), provide new approaches to advanced analytics. Metadata management, knowledge graphs, data discovery, quality metrics and data visualisation tools are also useful for adding context to data and providing insight, although winning buy in and business ownership for new tools is an ongoing challenge.
Managing data privacy, content license restrictions and security is a critical concern when using data for analytics, and must be addressed in the early stages of any analytics project.
This webinar will discuss data science and how it is driving new approaches and solutions to business analytics.
Listen to the webinar to find out:
-The role of the data scientist in analytics
-How to add data sources into workflows
-How to integrate quality data with analytics
-How to gain insight from data
-How to manage data privacy and security
-Necessary tools, technologies and techniques
Data Standards – progress and case studies
Global data standards and identifiers are essential to business growth, market stability and cost reduction – but they can be challenging to implement, while a lack of consistency across jurisdictions has presented obstacles to global take-up.
However, with regulators starting to sit up and take note, the issue of data standards is coming increasingly to the fore. The FICC Markets Standards Board (FMSB) in its latest Spotlight Review warned that if markets are to remain stable and trusted, fair and effective, then the rapid growth of new technology and of data science must be balanced with more effective governance and control – notably through the widespread use of data standards.
Following on from A-Team Group’s in-depth discussion earlier this year on ‘Data Standards and Identifiers: Where are the helping and what more can be done?’ this webinar brings you the latest updates on progress: including a review of current industry developments around data standards and identifiers including the FIGI, LEI, UPI, ISINs, Cusips and more, and how they have helped firms meet regulatory requirements thus far.
It explores the challenge in adopting these standards, the most urgent pressures facing firms in terms of adoption, and how the industry can further engage in the standard-setting process.
Presenting a range of detailed and specific use cases defining practical illustrations of adoption and execution, the webinar is a must for anyone with an interest in the security, accuracy, timeliness and integrity of data for the smooth running of the financial markets.
Listen to this webinar to find more about:
-Industry progress on data standards and identifiers such as the FIGI, LEI, UPI, ISINs, Cusips
-Case studies on how standards are being used
-Challenges to adoption and barriers to implementation
-The role of standards in a digital and data driven world
How to run effective client onboarding and KYC processes
Increasing cost, complexity and regulatory change continue to challenge firms implementing client onboarding and Know Your Customer (KYC) systems. With an effective strategy and a clearly defined pathway, it’s possible to gain a valuable competitive advantage whilst meeting those all-important compliance requirements. But how to get there?
With a myriad of different options out there and a clamour of information attempting to be heard, the practical implementation of a coherent client onboarding strategy can be challenging – especially in today’s environment, where both banks and their clients are attempting to acclimatise to a whole new way of working.
Data is a crucial cog in this wheel – and for many financial institutions, this can throw up a seemingly insurmountable barrier, with much in-house data still siloed, frequently uncategorised, and often disorganised. Learning how to source, cleanse and effectively govern operational and onboarding data is a vital step in the KYC process, and one that requires a holistic data strategy in order to implement.
This webinar explores how to most effectively streamline and improve your client onboarding and KYC processes in order to meet today’s complex regulatory requirements and leverage increasingly pressing commercial imperatives. Join us to:
-Evaluate the obstacles to effective onboarding and learn how to address them
-Explore the latest developments in onboarding innovation and automation
-Discover the benefits and cost savings available through streamlined KYC processes
-Investigate the best ways of aggregating and effectively managing your onboarding and operational data
-Identify best practice and create a path forward.
Adopting Entity Data Hierarchies to Address Holistic Risk Management
Firms across the board are struggling to gain a comprehensive view of their counterparty risk. In the wake of the Credit Crisis, regulators have increased their focus on pushing firms to not only better understand risk exposure, but also be able to provide evidence of the analysis they use to create their view of risk.
Entity identification has emerged as a key requirement for firms seeking to understand the links between investment securities, issuers, counterparties and risk measures. But creating entity hierarchies – which are required to link legal entities, counterparties and issuers with securities, thereby establishing beneficial ownership – remains a challenge.
Despite great strides, such as the adoption of the global legal entity identifier (LEI), firms continue to be hamstrung by data issues in their attempts to address credit and counterparty risk. The complexity of operations and reliance on multiple data sources have proven to be key factors that add layers of difficulty.
This webinar will examine the challenges associated with mapping, managing and visualizing the data sets needed to create a holistic view of market, country and counterparty risk. The panellists will discuss what data and technology are needed to address legal entity hierarchies and country of risk, using a proactive and robust approach to data mapping. This will include examples from both the buy and sell sides. Finally, the speakers will provide guidance on how to approach a top-down strategy for entity data management.
Best Practices for Integrated Regulatory Reporting Across Multiple Jurisdictions
The regulatory reporting obligations of financial institutions have mushroomed in scale over the past decade, leaving firms facing a raft of different requirements to provide increasingly granular metrics on their transaction, valuation and collateral data to a number of regulatory authorities. While many of these reports draw from the same core data set, the nuanced differences in requirement across regulatory jurisdictions is creating a complex, highly fragmented and administratively burdensome challenge for many financial institutions, particularly those with activities in multiple jurisdictions.
Today Tier 1 or Tier 2 buy- and sell-side institutions need to provide a significant number of reporting data fields to licensed trade repositories to meet their obligations under a range of reporting regulations – ASIC, CFTC, EMIR, HKMA, MAS, MiFID II, SFTR – across global markets in credit, commodities, equities, foreign exchange, interest rates and exchange-traded derivatives.
For regulated entities, the challenge is to report as efficiently as possible, ensuring consistency across the relevant regulatory jurisdictions, minimizing risk of misreporting, and centralizing audit trails and exceptions management.
This webinar looks at the challenges facing institutions as they seek to establish an integrated approach to regulatory risk reporting. It discusses the specific issues facing both buy- and sell-side institutions, and includes examples of how firms have approached trade reporting across the key regulations they face. In particular, the webinar will address best practices for establishing a full reporting work flow including:
-Data management
-Submission
-Reconciliation
-Monitoring
Last minute preparations for SFTR: What still needs to be done and are we ready?
This document summarizes an upcoming webinar on preparations for the Securities Financing Transactions Regulation (SFTR). The webinar will feature a moderator and four panel members with expertise in areas like securities lending, regulatory initiatives, and reference data. They will discuss key topics organizations should focus on to prepare for SFTR like reference data requirements, security ratings, industry testing delays, direct vs delegated reporting, and expectations for compliance. Challenges around gathering and enriching reference data will also be addressed, as will potential pitfalls to watch for after the April 2022 implementation date.
Data lineage – how to ensure you can deliver the right information, to the ri...
Data lineage is critical to digital transformation, business decisions and regulatory compliance. It is also difficult to implement at scale, not only because large quantities of data across numerous systems must be inventoried and tracked, but also because the data is not static and needs context to make sense to the business.
If you are a data management practitioner working on data lineage, or if your organisation continually fails to get the right information to the right people at the right time, this webinar is for you. It will discuss how to build successful data lineage, the need for automation, and the resources required. It will also identify potential breaking points and detail how they can be avoided or resolved. Finally, it will review the significant business and operational gains of effective implementation.
Listen to the webinar to find out more about:
-Critical use cases of data lineage
-Approaches to building lineage
-Solutions and tools to ease the task
-Breaking points and resolutions
-Benefits of successful implementation
Client Experience and Onboarding For Transfer Agents: How to ensure you deliv...
Clients expect you to seamlessly deliver a range of transfer services. They expect you to delight their investors and ensure you have a robust onboarding and compliance process in place. They also want you to help them ensure they comply with shareholding obligations and corporate actions.
With digital expectations becoming ever higher, how will you and your firm beat the competition? Join this exclusive webinar to learn how the market leaders are excelling and why digitalising your onboarding and client experience is key to your future success.
The webinar will consider:
How transfer agents can deliver a seamless client experience
-The need to digitalise onboarding and client experience
-Technologies and tools to support digitalisation
-How to build competitive advantage
-The benefits of digitalisation beyond compliance
How to capture and manage complete and accurate customer data
The document discusses the process of developing a new product from start to finish. It outlines 9 key steps: conducting market research, developing a business plan, designing the product, creating a prototype, testing and refining the prototype, manufacturing the product, marketing and distributing the product, selling the product, and getting customer feedback to improve future products. The overall goal is to bring a new product from concept to market through this comprehensive 9-step process.
Moving the trading technology stack to the cloud
The document provides information about an upcoming conference called RegTech Insight USA 2022 that will take place from May 16-18th in New York City. The conference will bring together regulators, financial institutions, and technology companies to discuss innovative regulatory technologies and their ability to advance compliance functions. A variety of speakers will provide insights on key issues related to regtech and discussions will cover themes such as artificial intelligence, blockchain, and data management.
FRTB: The time to get your data in order is now
Fundamental Review of the Trading Book (FRTB) regulation requires firms within its scope to source significant amounts of data, some of which has not previously been required and is difficult to pin down.
The data management challenges of the regulation’s Internal Model Approach (IMA) to market risk capital calculations include ongoing P&L attribution, back testing and identifying whether risk factors are modellable or non-modellable based on real price data that can be difficult to source, particularly in OTC markets with little transparency.
The Standardised Approach (SA) to market risk is also overhauled by FRTB, requiring large banks to take a sensitivity-based approach to market risk and adopt the regulation’s expected shortfall standard risk measure and redefine boundaries between banking and trading books.
This webinar will discuss these and other data challenges of FRTB, consider how required data can be sourced and managed, and outline best practice approaches to compliance.
Listen to the webinar to find out everything you need to know about:
-The data requirements of FRTB
Challenges presented by these requirements
-Modellable and non-modellable risk factors (NMRFs)
-Best practice approaches to successful data sourcing
-Technology and partner solutions to support compliance
How to exploit the opportunities of alternative data
Alternative data is emerging as a key component of buy-side firms’ efforts to seek out new investment opportunities, for many filling the gap left by the unbundling of sell-side research from execution. By tapping into unique, non-traditional data sets, hedge funds and quantitative fund managers hope to exploit unfound opportunities before they hit the mainstream.
But sourcing, evaluating, integrating and using alternative data is a non-trivial exercise. Many providers of alternative data are experts in their field, but inexpert when it comes to data provision. Alternative data sets may be incomplete or unverifiable; they may be unstructured in format and difficult to integrate; they may include data that isn’t permitted for redistribution under new privacy rules. And there may be limited or no archive available for back-testing.
This webinar will discuss the issues around selecting and deploying alternative data, and detail steps investment managers can take to exploit the opportunities presented by the data. It will also identify best practice approaches to using the data and highlight its criticality going forward.
Register for the webinar to find about more about:
-The benefits of using alternative data
-Examples of alternative data and their use cases
-The challenges of selecting and deploying alternative data sets
-Best practices that deliver successful outcomes
FRTB: Laying the groundwork for compliance 6 June 2019
The webinar aimed to provide an overview of the Fundamental Review of the Trading Book (FRTB) regulation and discuss challenges for compliance. It featured a moderator and three panel members with expertise in FRTB implementation at major banks. They planned to cover the requirements and timeline of FRTB, progress of financial institutions, implications of the standardized and internal model approaches, data challenges, and tools to support compliance. The webinar would help attendees understand how FRTB differs from prior market risk rules and prepare for its upcoming implementation deadlines.
An update on data standards and global identifiers
The importance of data standards and global identifiers continues to be emphasised by both capital markets participants and their regulators. But how much progress is actually being made in developing and implementing standards that will improve data quality for better business decisions, provide regulators with a clearer view of systemic risk, and ensure more stable markets?
This webinar will review the state of play on data standards and global identifiers such as the LEI, ISIN, CUSIP and CFI code, consider the challenges of extending standardisation, and discuss the broad potential of an industry that adopts data standards to the greatest possible extent.
It will also offer guidance on how your organisation can implement data standards and global identifiers not only to fulfill regulatory requirements, but also to drive down costs, drive up data quality and deliver business opportunities.
Register for the webinar to find out more about:
-Progress on data standards and global identifiers
-Challenges to ongoing development and deployment
-Regulatory and business use cases of standard data
-The potential of widespread adoption across industry
-How your organisation could benefit from data standards
Operational Change Management Under Brexit
The UK's departure from the EU - whatever the eventual terms - presents financial institutions of all types operating within Europe with a huge change management challenge.
Deciding where to locate which activities, how to organise them corporately and legally, how to deploy data and technology to effect the change, and finally how to manage the process of meeting the Brexit challenge; all of these contribute to a significant operational headache that needs to be addressed rapidly.
Firms of all kinds need to grasp what’s involved in setting up EU entities so they can participate in the post-Brexit single market. They need to understand where liquidity may reside in the post-Brexit venue landscape, how to access it, and how to deliver on their best execution policies.
This webinar will discuss the impact of Brexit on financial institutions' operations across the board and discusses best approaches given the current paucity of information on requirements and obligations.
Regtech: How to digitalise the customer experience with KYC and AML Innovation
How can ‘digitalising’ client onboarding help to speed up data processing and improve customer experience? How can you leverage digital capabilities to improve your Know Your Customer (KYC) and Anti-Money Laundering (AML) workflows, processes and checks?
The task is not easy for financial institutions that have large, complex, legacy ecosystems, and standalone solutions and processes.
However, all is not lost, with the emergence of specialist regtech providers that can help you leap frog heritage infrastructure and deploy new and improved workflows, systems and applications.
This webinar will gauge the extent of digitalisation across onboarding, KYC and AML, review the latest market developments, and explore the capabilities of regtech tools that can help you solve the problems inherent in today’s onboarding processes, and enhance customer experience.
If your organisation is working to improve customer experience, register for this webinar to find out more about:
-The state of play on digitalising customer experience
-Problems caused by legacy and standalone systems
-Best practice approaches to digitalisation
-Regtech tools that innovate KYC and AML processes
-Guidance on how to set and achieve your goals
Fast, Cheap, State of the Art: Optimising Execution Quality using Cloud Data,...
Trade execution is critical to competitive advantage, so how can it be optimised, what challenges does it present and what types of approaches and technologies can firms implement to resolve any problems?
This webinar will consider new approaches to the old problems of optimised execution, the role of new technologies including artificial intelligence (AI) in improvement, and how to implement and integrate tools and technologies to build an efficient and cost-effective technology stack.
It will also take a look into the future and discuss additional technologies and developments that could be added to the stack for even better decision making and execution going forward.
Join the webinar to find out more about:
-The criticality of optimised execution
-How to approach optimisation
Challenges to success
-Technologies providing solutions
-How to build an effective technology stack
-Beneficial outcomes of a modern stack
Balancing Regulatory Transparency with Data Protection
Balancing the use of personal data required by Markets in Financial Instruments Directive II (MiFID) as part of its transparency regime with the personal data protection rules set out in General Data Protection Regulation (GDPR) is a tough task – tell us everything, but keep it secret – that many financial institutions are struggling with. How can they store personal data for five or seven years as required by MiFID II when GDPR states that data should be kept for no longer than necessary? And how can they respond to data subjects’ requests to exercise the right to be forgotten under GDPR when the transparency requirements of MiFID II allow no such thing?
The webinar will consider the conflicts around personal data that result from MiFID II and GDPR requirements, and detail how they can be reconciled to meet the needs of both regulations while avoiding the exorbitant fines of non-compliance with GDPR.
Register for the webinar to find out more about:
-Personal data requirements of MiFID II and GDPR
-Conflicts arising from these requirements
-Best practice approaches to reconciliation
-Technology solutions to support compliance
-Practical examples of conflict and resolution
The latest on identifiers and standards in data management – LEIs, ISINs, CFI...
The concept of data standardisation is gaining ground as financial firms tackle mounting regulatory requirements while seeking to improve efficiency and reduce costs. Identifiers such as Legal Entity Identifiers (LEIs) and International Securities Identification Numbers (ISINs), and classification codes such as Classification of Financial Instruments (CFI) codes, provide some standardisation to data management, particularly for regulatory reporting, but what next and what are the challenges and opportunities of data standardisation?
Register for the webinar to find out about:
-The latest on identifiers and standards
-Regulatory requirements for standard data
-How to use identifiers and standards to best advantage
-Challenges of ongoing data standardisation
-Potential benefits of increased standardisation
Solving the data management challenges of FRTB
Despite the compliance deadline of the Fundamental Review of the Trading Book (FRTB) being pushed back to January 2022 by many national regulators, the time to address the data management challenges of the regulation is now. The webinar will discuss key elements of FRTB – including risk models, liquidity horizons and data sourcing for risk calculations, back testing and hedging – and consider the data management challenges these present. It will also identify solutions to the challenges and consider how best they can be implemented and to what advantage.
Join the webinar to find out about:
-FRTB requirements
-Data management challenges
-Technology solutions
-Best practice implementation
Benefits beyond compliance
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Data Science & Analytics – New approaches and capabilities for driving busine...
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How to run effective client onboarding and KYC processes
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Adopting Entity Data Hierarchies to Address Holistic Risk Management
Adopting Entity Data Hierarchies to Address Holistic Risk Management
Best Practices for Integrated Regulatory Reporting Across Multiple Jurisdictions
Best Practices for Integrated Regulatory Reporting Across Multiple Jurisdictions
Last minute preparations for SFTR: What still needs to be done and are we ready?
Last minute preparations for SFTR: What still needs to be done and are we ready?
Data lineage – how to ensure you can deliver the right information, to the ri...
Data lineage – how to ensure you can deliver the right information, to the ri...
Client Experience and Onboarding For Transfer Agents: How to ensure you deliv...
Client Experience and Onboarding For Transfer Agents: How to ensure you deliv...
How to capture and manage complete and accurate customer data
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How to exploit the opportunities of alternative data
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FRTB: Laying the groundwork for compliance 6 June 2019
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An update on data standards and global identifiers
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Regtech: How to digitalise the customer experience with KYC and AML Innovation
Regtech: How to digitalise the customer experience with KYC and AML Innovation
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Fast, Cheap, State of the Art: Optimising Execution Quality using Cloud Data,...
Balancing Regulatory Transparency with Data Protection
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一比一原版加拿大麦吉尔大学毕业证（mcgill毕业证书）如何办理
原版一模一样【微信：741003700 】【加拿大麦吉尔大学毕业证（mcgill毕业证书）成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理加拿大麦吉尔大学毕业证（mcgill毕业证书）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理加拿大麦吉尔大学毕业证（mcgill毕业证书）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理加拿大麦吉尔大学毕业证（mcgill毕业证书）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理加拿大麦吉尔大学毕业证（mcgill毕业证书）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Senior Engineering Sample EM DOE - Sheet1.pdf
Sample Engineering Profiles from Product Companies DOE EM etc
06-18-2024-Princeton Meetup-Introduction to Milvus
06-18-2024-Princeton Meetup-Introduction to Milvus
tim.spann@zilliz.com
https://www.linkedin.com/in/timothyspann/
https://x.com/paasdev
https://github.com/tspannhw
https://github.com/milvus-io/milvus
Get Milvused!
https://milvus.io/
Read my Newsletter every week!
https://github.com/tspannhw/FLiPStackWeekly/blob/main/142-17June2024.md
For more cool Unstructured Data, AI and Vector Database videos check out the Milvus vector database videos here
https://www.youtube.com/@MilvusVectorDatabase/videos
Unstructured Data Meetups -
https://www.meetup.com/unstructured-data-meetup-new-york/
https://lu.ma/calendar/manage/cal-VNT79trvj0jS8S7
https://www.meetup.com/pro/unstructureddata/
https://zilliz.com/community/unstructured-data-meetup
https://zilliz.com/event
Twitter/X: https://x.com/milvusio https://x.com/paasdev
LinkedIn: https://www.linkedin.com/company/zilliz/ https://www.linkedin.com/in/timothyspann/
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Invitation to join Discord: https://discord.com/invite/FjCMmaJng6
Blogs: https://milvusio.medium.com/ https://www.opensourcevectordb.cloud/ https://medium.com/@tspann
Expand LLMs' knowledge by incorporating external data sources into LLMs and your AI applications.
一比一原版南昆士兰大学毕业证如何办理
原版一模一样【微信：741003700 】【南昆士兰大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理南昆士兰大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理南昆士兰大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理南昆士兰大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理南昆士兰大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
[VCOSA] Monthly Report - Cotton & Yarn Statistics May 2024
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of May 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理
办理【微信号:176555708】【办理(UofT毕业证书)】【微信号:176555708】《成绩单、外壳、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号:176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号:176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Salesforce AI + Data Community Tour Slides - Canarias
Slides for the Salesforce AI + Data Community Tour in Las Palmas de Gran Canaria
一比一原版(uom毕业证书)曼彻斯特大学毕业证如何办理
原版一模一样【微信：741003700 】【(uom毕业证书)曼彻斯特大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uom毕业证书)曼彻斯特大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uom毕业证书)曼彻斯特大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uom毕业证书)曼彻斯特大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uom毕业证书)曼彻斯特大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版爱尔兰都柏林大学毕业证(本硕）ucd学位证书如何办理
原版一模一样【微信：741003700 】【爱尔兰都柏林大学毕业证(本硕）ucd成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
reading_sample_sap_press_operational_data_provisioning_with_sap_bw4hana (1).pdf
Gran libro. Lo recomiendo
Drownings spike from May to August in children
Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!
一比一原版斯威本理工大学毕业证（swinburne毕业证）如何办理
原版一模一样【微信：741003700 】【斯威本理工大学毕业证（swinburne毕业证）成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理斯威本理工大学毕业证（swinburne毕业证）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理斯威本理工大学毕业证（swinburne毕业证）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理斯威本理工大学毕业证（swinburne毕业证）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理斯威本理工大学毕业证（swinburne毕业证）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Call Girls Hyderabad ❤️ 7339748667 ❤️ With No Advance Payment
Call Girls Hyderabad ❤️ 7339748667 ❤️ With No Advance Payment
06-20-2024-AI Camp Meetup-Unstructured Data and Vector Databases
Tech Talk: Unstructured Data and Vector Databases
Speaker: Tim Spann (Zilliz)
Abstract: In this session, I will discuss the unstructured data and the world of vector databases, we will see how they different from traditional databases. In which cases you need one and in which you probably don’t. I will also go over Similarity Search, where do you get vectors from and an example of a Vector Database Architecture. Wrapping up with an overview of Milvus.
Introduction
Unstructured data, vector databases, traditional databases, similarity search
Vectors
Where, What, How, Why Vectors? We’ll cover a Vector Database Architecture
Introducing Milvus
What drives Milvus' Emergence as the most widely adopted vector database
Hi Unstructured Data Friends!
I hope this video had all the unstructured data processing, AI and Vector Database demo you needed for now. If not, there’s a ton more linked below.
My source code is available here
https://github.com/tspannhw/
Let me know in the comments if you liked what you saw, how I can improve and what should I show next? Thanks, hope to see you soon at a Meetup in Princeton, Philadelphia, New York City or here in the Youtube Matrix.
Get Milvused!
https://milvus.io/
Read my Newsletter every week!
https://github.com/tspannhw/FLiPStackWeekly/blob/main/141-10June2024.md
For more cool Unstructured Data, AI and Vector Database videos check out the Milvus vector database videos here
https://www.youtube.com/@MilvusVectorDatabase/videos
Unstructured Data Meetups -
https://www.meetup.com/unstructured-data-meetup-new-york/
https://lu.ma/calendar/manage/cal-VNT79trvj0jS8S7
https://www.meetup.com/pro/unstructureddata/
https://zilliz.com/community/unstructured-data-meetup
https://zilliz.com/event
Twitter/X: https://x.com/milvusio https://x.com/paasdev
LinkedIn: https://www.linkedin.com/company/zilliz/ https://www.linkedin.com/in/timothyspann/
GitHub: https://github.com/milvus-io/milvus https://github.com/tspannhw
Invitation to join Discord: https://discord.com/invite/FjCMmaJng6
Blogs: https://milvusio.medium.com/ https://www.opensourcevectordb.cloud/ https://medium.com/@tspann
https://www.meetup.com/unstructured-data-meetup-new-york/events/301383476/?slug=unstructured-data-meetup-new-york&eventId=301383476
https://www.aicamp.ai/event/eventdetails/W2024062014
一比一原版(uob毕业证书)伯明翰大学毕业证如何办理
原版一模一样【微信：6496090 】【(uob毕业证书)伯明翰大学毕业证成绩单】【微信：6496090 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微6496090
【主营项目】
一.毕业证【q微6496090】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微6496090】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uob毕业证书)伯明翰大学毕业证【微信：6496090 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uob毕业证书)伯明翰大学毕业证【微信：6496090 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uob毕业证书)伯明翰大学毕业证【微信：6496090 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uob毕业证书)伯明翰大学毕业证【微信：6496090 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(lbs毕业证书)伦敦商学院毕业证如何办理
原版一模一样【微信：741003700 】【(lbs毕业证书)伦敦商学院毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
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Data management requirements for the 2018 regulatory agenda
- 1. DataManagementReview.comDecember 12, 2017 FROM Welcome to A-Team Group’s webinar Data management requirements for the 2018 regulatory agenda
- 2. DataManagementReview.comDecember 12, 2017 FROM Join the Data Management Review Online Community Data Management Review is your single destination for knowledge and resources covering data management approaches, trends and challenges as well as all the regulations impacting financial data management for the enterprise. Join our 15,000 other members - it’s entirely free to join! Sign up at http://bit.ly/signupforDMR Membership entitles you to free access to expert unbiased commentary. We deliver: Regular weekly updates on the latest news and views Blogs and commentary White papers Surveys and research Data management handbooks Events Webinars Awards
- 3. DataManagementReview.comDecember 12, 2017 FROM A recording of this webinar can be found at http://resource.datamanagementreview.com/webina r-recording-regulatory-agenda-dec2017
- 4. DataManagementReview.comDecember 12, 2017 FROM Moderator: Sarah Underwood, Editor, A-Team Group
- 5. DataManagementReview.comDecember 12, 2017 FROM Panel Member: Dessa Glasser, Principal Consultant, Financial Risk Group (FRG) and Former CDO, JP Morgan Chase Areas of Expertise: • A proven track record designing and executing global innovative solutions for clients in the areas of data, analytics and risk • The first Chief Data Officer for JPMorgan Chase Asset Management • The first Deputy Director of the Office of Financial Research, responsible for data, standards, analytics and technology • First Chief Risk Officer for Bunge
- 6. DataManagementReview.comDecember 12, 2017 FROM Panel Member: Kelvin Dickenson, Vice President, Compliance Solutions, Opus/Alacra Areas of Expertise: • Responsible for product strategy and product management for the Opus range of solutions for KYC and entity reference data • Advisory board member of the Association of Certified Financial Crime Specialists • 12 years in the data industry providing solutions to financial firms globally • 20 years of prior experience at US and UK banks in a range of compliance and risk management roles
- 7. DataManagementReview.comDecember 12, 2017 FROM Panel Member: Chris Casey, Global Head of Regulatory and Reference Data, Bloomberg Areas of Expertise: • Oversees product development and business management globally for all regulatory and reference data • Spent 10 years advising global financial institutions on regulatory readiness and compliance as a consultant in KPMG's Financial Services Consulting practice
- 8. DataManagementReview.comDecember 12, 2017 FROM The regulatory agenda for 2018 and the compliance requirement How firms are approaching the MiFID II and MiFIR hangover Existing and new, internal and external data for the 2018 regime Data management challenges of GDPR and how to solve them Data management challenges of PRIIPs and how to approach them How to prepare for FRTB in the run up to compliance in early 2020 Technology solutions to support the requirements of new regulations Benefits firms can derive from a strategic approach to regulation Talking Points
- 9. DataManagementReview.comDecember 12, 2017 FROM The regulatory agenda for 2018 • MiFID II/MiFIR • PRIIPs • GDPR • FRTB • SFTR • KYC/AML
- 10. DataManagementReview.comDecember 12, 2017 FROM The MiFID II/MiFIR hangover and how to approach it from a data management perspective
- 11. DataManagementReview.comDecember 12, 2017 FROM Existing and new data that must be sourced internally and externally for compliance with 2018 regulations • Reference data • Standard data • Pricing data • Structured data • Unstructured data • Index data • Benchmark data
- 12. DataManagementReview.comDecember 12, 2017 FROM Data management challenges of GDPR and how they can best be approached • Ensure individuals’ rights • Documentation access • Right of rectification • Right to be forgotten • Right to portability • Right to object • Accountability • Documentation • Data protection by design • Data Protection Officer • Breach notification
- 13. DataManagementReview.comDecember 12, 2017 FROM How to address the ongoing data management challenges of PRIIPs • PRIIPs KIDs • Transparency • Data aggregation • Maintenance • Distribution • Disclosure
- 14. DataManagementReview.comDecember 12, 2017 FROM Data and data management requirements of Benchmark Regulation • Index data • Benchmark data • Increasing data volume • Data governance • Distribution
- 15. DataManagementReview.comDecember 12, 2017 FROM How to prepare for FRTB in the run up to compliance in early 2020 • Data sourcing • Market data • Internal/standard model • Risk factors • Observation data • Capital calculations • Disclosure
- 16. DataManagementReview.comDecember 12, 2017 FROM Technology solutions to support firms within the scope of new regulations
- 18. DataManagementReview.comDecember 12, 2017 FROM To what extent are firms taking a strategic approach to regulation and where are the data crossovers?
- 19. DataManagementReview.comDecember 12, 2017 FROM The benefits of a strategic approach to regulation • Increased efficiency • Reduced cost • Fewer data sources • Improved compliance • Integrate new regulation
- 20. DataManagementReview.comDecember 12, 2017 FROM Advice for data practitioners as they look forward to the 2018 regulatory agenda
- 21. DataManagementReview.comDecember 12, 2017 FROM Thank you to our sponsor Chris Casey Global Head of Regulatory & Reference Data Bloomberg L.P. Office: +1-646-324-4441 ccasey28@bloomberg.net
- 22. DataManagementReview.comDecember 12, 2017 FROM Upcoming A-Team Group Webinars Visit webinar section of Datamanagementreview.com December 14th – Measuring results from client onboarding solutions March 22nd – How to track usage for the market data services you pay for
- 23. DataManagementReview.comDecember 12, 2017 FROM A-Team Group Handbook Series Visit the handbooks section of Datamanagementreview.com
- 24. DataManagementReview.comDecember 12, 2017 FROM Join the Data Management Review Online Community Data Management Review is your single destination for knowledge and resources covering data management approaches, trends and challenges as well as all the regulations impacting financial data management for the enterprise. Join our 15,000 other members - it’s entirely free to join! Sign up at http://bit.ly/signupforDMR Membership entitles you to free access to expert unbiased commentary. We deliver: Regular weekly updates on the latest news and views Blogs and commentary White papers Surveys and research Data management handbooks Events Webinars Awards