talk-data.com

We admire LLMs for speed and quality, but technology alone doesn’t differentiate. Context does. Generic tools solve generic problems; your cloud infrastructure, cost models, and optimization workflows are specific to your organisation. This talk shows how AI, tuned to your context, delivers value that used to require bespoke development. Unlike static tools or dedicated teams, AI evolves with your environment in real time, both a blessing and a curse for the needs of Financial Services.

The promise of AI in enterprise settings is enormous, but so are the privacy and security challenges. How do you harness AI's capabilities while keeping sensitive data protected within your organization's boundaries? Private AI—using your own models, data, and infrastructure—offers a solution, but implementation isn't straightforward. What governance frameworks need to be in place? How do you evaluate non-deterministic AI systems? When should you build in-house versus leveraging cloud services? As data and software teams evolve in this new landscape, understanding the technical requirements and workflow changes is essential for organizations looking to maintain control over their AI destiny. Manasi Vartak is Chief AI Architect and VP of Product Management (AI Platform) at Cloudera. She is a product and AI leader with more than a decade of experience at the intersection of AI infrastructure, enterprise software, and go-to-market strategy. At Cloudera, she leads product and engineering teams building low-code and high-code generative AI platforms, driving the company’s enterprise AI strategy and enabling trusted AI adoption across global organizations. Before joining Cloudera through its acquisition of Verta, Manasi was the founder and CEO of Verta, where she transformed her MIT research into enterprise-ready ML infrastructure. She scaled the company to multi-million ARR, serving Fortune 500 clients in finance, insurance, and capital markets, and led the launch of enterprise MLOps and GenAI products used in mission-critical workloads. Manasi earned her PhD in Computer Science from MIT, where she pioneered model management systems such as ModelDB — foundational work that influenced the development of tools like MLflow. Earlier in her career, she held research and engineering roles at Twitter, Facebook, Google, and Microsoft. In the episode, Richie and Manasi explore AI's role in financial services, the challenges of AI adoption in enterprises, the importance of data governance, the evolving skills needed for AI development, the future of AI agents, and much more. Links Mentioned in the Show: ClouderaCloudera Evolve ConferenceCloudera Agent StudioConnect with ManasiCourse: Introduction to AI AgentsRelated Episode: RAG 2.0 and The New Era of RAG Agents with Douwe Kiela, CEO at Contextual AI & Adjunct Professor at Stanford UniversityRewatch RADAR AI  New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

​CryptoMondaysNYC: Women of Wall Street 🗓 August 4th \| 6:00 – 8:30 PM 📍 Stellar Development Foundation, NYC ​Join us for a powerful evening at the intersection of finance, crypto, and female leadership. CryptoMondaysNYC proudly presents "Women of Wall Street", an exclusive gathering spotlighting the women shaping the future of digital assets and financial innovation.

​This special event is hosted at the headquarters of the Stellar Development Foundation, a leader in advancing open and inclusive financial systems. We're thrilled to present this evening in partnership with SoSoValue, a cutting-edge analytics platform driving transparency and insight in the Web3 space & Vault12, the pioneer in crypto inheritance management, helping everyday people set up legacy contacts for their Bitcoin and Ethereum crypto wallets. ​✨ Space is extremely limited. All guests must be approved for entry — early RSVP is strongly encouraged. RSVP HERE ​

Featured Guest: ​ Kelly YE, CFA: ​Democratize Alternative Investments \| Drive Digital Assets Adoption

​Connect with industry leaders, rising voices, and a curated community of innovators redefining what’s possible in finance.

Thank you to our evenings partner ... SoSoValue - SoSoValue is a next-generation investment ecosystem designed to elevate the standard of digital asset management. At its core are three innovative products: an AI-driven research terminal offering complimentary\, real-time market data and in-depth analysis; a seamless index protocol (SoSoValue Index - SSI) that simplifies diversified multi-token investing; and a high-performance decentralized exchange (SoDEX) built on SoSoValue’s proprietary ValueChain\, supporting both spot and derivatives trading via an on-chain order book.

By harmonizing AI with the forefront of financial innovation, SoSoValue empowers investors of all experience levels to monitor market movements, refine portfolio strategies, and unlock optimal returns with unmatched efficiency and confidence.

With a growing community of over 80 million registered users and approximately 1 million daily active users, SoSoValue is rapidly shaping the future of decentralized finance. Our SSI protocol is currently ranked #2 among revenue-generating DeFi platforms on BASE, underscoring both its utility and user trust. Meanwhile, our high-performance decentralized exchange, SoDEX, is live on testnet and gearing up for an imminent launch on mainnet. ​SoSoValue Live Crypto Prices, Bitcoin/ETH ETFs Data, On-Chain Data Dashboard, Bitcoin Spot ETF Trends, and Up-to-the-Second Cryptocurrency News. NorthAmerica Telegram Group: @sosovalueNA

​Stellar empowers builders to unlock human and economic potential. It combines a powerful, decentralized blockchain network with a global ecosystem of innovators to create opportunities as borderless as ideas. It offers the tools to make a difference in the real world through new digital asset products and services that enhance access to the global financial system.

​**Vault12, Leaders of** Legacy and solutions for digital assets ... If you don't worry about crypto inheritance, nobody else will.

​​​Joe Cox: Host of CryptoMondays Wall Street & Head of Business Development at Valmar Capital, a digital assets multi-manager multi-strategy platform that brings together a broad array of crypto-strategies and emerging talent. Our approach is backed by institutional-grade infrastructure, cutting-edge technology, and rigorous risk management processes.

​​​​By RSVPing to any of our events, you agree to be added to our future correspondence. You confirm that the email provided is active and in good standing, and you consent to opt into receiving updates and communications from us.

Location: Stellar Developement Foundation 200 Park Avenue South, Suite 1208, New York, NY 10003

Accelerating AI Readiness in Financial Services: From Data Foundations to Real-World Impact

Join Celestial Systems for a 30-minute live session designed for financial services leaders looking to operationalize AI initiatives with speed, scale, and success. Discover how to build strong data foundations and move from AI planning to production with confidence.

In this session, Jordan Nelson, Senior AI and Software Architect at Celestial Systems, will walk through practical approaches to preparing financial services data systems for scalable AI success. You’ll learn how to modernize your stack, improve data quality, and accelerate transformation with tools like Microsoft Fabric and Dataiku.

Register Here!

We will cover:

• How to plan and execute smooth data migrations that fit your current infrastructure.
• Why modern data warehousing improves data quality, accessibility, and your ability to generate insights.
• How tools like Microsoft Fabric and Dataiku support flexible experimentation, faster data transformation, and clearer reporting.
• Live demos showcasing production-ready pipelines and AI-enabled apps—built on Microsoft Fabric and Dataiku—so you can see the real-world potential of your own data modernization journey.

Why Attend? Whether you’re just beginning to explore AI or already piloting solutions, this session will equip you with frameworks, tools, and ideas to turn fragmented data into business intelligence—faster and with less friction.

Register Now!

Celestial: Empowering Enterprises Since 2001 Based in Vancouver, Canada with worldwide offices and a fully in-house engineering team, we combine a heritage of industry leadership in application engineering with deep expertise in data and AI solutions. At Celestial, we’re passionate about empowering enterprises to leverage the power of AI to unlock new opportunities, minimize risk, and sharpen their competitive edge.

High-Performance Computing (HPC) is the backbone of industries that rely on complex simulations and data-intensive computations, from financial services to manufacturing. With AI-driven innovations, organizations can significantly enhance HPC efficiency, streamline workflows, and optimize simulations for faster, more accurate results.

This webinar will explore how AI can be seamlessly integrated into traditional HPC infrastructures without relying on Pretrained AI (PCAI) models. Industry experts will discuss real-world applications in high-level synthesis (HLS), financial services (FSI), and manufacturing, showcasing the transformative power of AI-driven HPC. Join us to learn how AI can elevate your HPC workloads, reduce computational bottlenecks, and drive new levels of performance and automation in your industry.

Key Takeaways:

1️⃣ AI-Driven HPC Optimization: How AI enhances traditional HPC infrastructure for improved simulation accuracy and efficiency. 2️⃣ Workflow Automation with AI: Using AI to streamline and optimize HPC workflows across industries. 3️⃣ Industry-Specific Applications: Real-world case studies in HLS, FSI, and manufacturing where AI transforms HPC workloads. 4️⃣ Future of AI in HPC: Emerging trends and strategies to ensure AI integration aligns with evolving industry needs.

PANELISTS TO BE ANNOUNCED SOON

Register Here

Joint briefing by Supermicro and NVIDIA on transforming financial services at the edge of innovation.

AI is transforming the banking sector, but real-world implementation is far more complex than industry headlines suggest. In this session, we move beyond high-level discussions to explore the practical realities of AI adoption in financial institutions — from technical and infrastructure challenges to talent and regulatory hurdles that shape the success of AI initiatives.

The webinar will be led by our founder, Jay van Zyl. Joining him is Matthew Hindley, founder of X-idian, an IT services and consulting company. This webinar will provide an inside look at the structural barriers and enablers that determine whether AI and machine learning can deliver real business value in banking.

With a focus on banking and financial services, we’ll examine the key considerations for AI adoption, such as infrastructure requirements, technology shifts, talent and enterprise gaps, and regulatory compliance factors.

Get ready to dive into the world of DevOps & Cloud tech! This session will help you navigate the complex world of Cloud and DevOps with confidence. This session is ideal for new grads, career changers, and anyone feeling overwhelmed by the buzz around DevOps. We'll break down its core concepts, demystify the jargon, and explore how DevOps is essential for success in the ever-changing technology landscape, particularly in the emerging era of generative AI. A basic understanding of software development concepts is helpful, but enthusiasm to learn is most important.

Vishakha is a Senior Cloud Architect at Google Cloud Platform with over 8 years of DevOps and Cloud experience. Prior to Google, she was a DevOps engineer at AWS and a Subject Matter Expert (SME) for the IaC offering CloudFormation in the NorthAm region. She has experience in diverse domains including Financial Services, Retail, and Online Media. She primarily focuses on Infrastructure Architecture, Design & Automation (IaC), Public Cloud (AWS, GCP), Kubernetes/CNCF tools, Infrastructure Security & Compliance, CI/CD & GitOps, and MLOPS.

Join us for an in-depth webinar Trust over IP (ToIP) to explore how cryptographic proof can preserve authenticity online in the age of generative AI. As generative AI accelerates, it will become all but impossible to detect who and what is authentic online. The only solution is cryptographic proof: digital credentials that prove you are a real person, a real company, or that you have authored real content (sites, documents, photos, videos, etc.) The smartest AI in the world cannot fake such proofs. Trust Over IP (ToIP) has been laying the foundation to put that capability in the hands of every person, organization, and government using the Internet. This webinar will share the latest developments in the ToIP model for decentralized digital trust infrastructure, including the Trust Spanning Protocol (TSP), the Trust Registry Query Protocol (TRQP), and governance models for digital trust ecosystems. We will also dive into what this means for specific ecosystems such as financial services, CBDCs, workforces, and even nation states like Bhutan and Switzerland.

The webinar will take place on November 13 at 10AM PT/1 PM ET/7PM CET

You are welcome to register here: https://zoom.us/webinar/register/2417290227423/WN_SNCfevVlQximwuKelMCd2g

Join us for an in-depth webinar Trust over IP (ToIP) to explore how cryptographic proof can preserve authenticity online in the age of generative AI. As generative AI accelerates, it will become all but impossible to detect who and what is authentic online. The only solution is cryptographic proof: digital credentials that prove you are a real person, a real company, or that you have authored real content (sites, documents, photos, videos, etc.) The smartest AI in the world cannot fake such proofs. Trust Over IP (ToIP) has been laying the foundation to put that capability in the hands of every person, organization, and government using the Internet. This webinar will share the latest developments in the ToIP model for decentralized digital trust infrastructure, including the Trust Spanning Protocol (TSP), the Trust Registry Query Protocol (TRQP), and governance models for digital trust ecosystems. We will also dive into what this means for specific ecosystems such as financial services, CBDCs, workforces, and even nation states like Bhutan and Switzerland.

The webinar will take place on November 13 at 10AM PT/1 PM ET/7PM CET

You are welcome to register here: https://zoom.us/webinar/register/2417290227423/WN_SNCfevVlQximwuKelMCd2g

Join us for an in-depth webinar Trust over IP (ToIP) to explore how cryptographic proof can preserve authenticity online in the age of generative AI. As generative AI accelerates, it will become all but impossible to detect who and what is authentic online. The only solution is cryptographic proof: digital credentials that prove you are a real person, a real company, or that you have authored real content (sites, documents, photos, videos, etc.) The smartest AI in the world cannot fake such proofs. Trust Over IP (ToIP) has been laying the foundation to put that capability in the hands of every person, organization, and government using the Internet. This webinar will share the latest developments in the ToIP model for decentralized digital trust infrastructure, including the Trust Spanning Protocol (TSP), the Trust Registry Query Protocol (TRQP), and governance models for digital trust ecosystems. We will also dive into what this means for specific ecosystems such as financial services, CBDCs, workforces, and even nation states like Bhutan and Switzerland.

The webinar will take place on November 13 at 10AM PT/1 PM ET/7PM CET

You are welcome to register here: https://zoom.us/webinar/register/2417290227423/WN_SNCfevVlQximwuKelMCd2g

Join us for an in-depth webinar Trust over IP (ToIP) to explore how cryptographic proof can preserve authenticity online in the age of generative AI. As generative AI accelerates, it will become all but impossible to detect who and what is authentic online. The only solution is cryptographic proof: digital credentials that prove you are a real person, a real company, or that you have authored real content (sites, documents, photos, videos, etc.) The smartest AI in the world cannot fake such proofs. Trust Over IP (ToIP) has been laying the foundation to put that capability in the hands of every person, organization, and government using the Internet. This webinar will share the latest developments in the ToIP model for decentralized digital trust infrastructure, including the Trust Spanning Protocol (TSP), the Trust Registry Query Protocol (TRQP), and governance models for digital trust ecosystems. We will also dive into what this means for specific ecosystems such as financial services, CBDCs, workforces, and even nation states like Bhutan and Switzerland.

The webinar will take place on November 13 at 10AM PT/1 PM ET/7PM CET

You are welcome to register here: https://zoom.us/webinar/register/2417290227423/WN_SNCfevVlQximwuKelMCd2g

*** RSVP: https://www.aicamp.ai/event/eventdetails/W2024022210 (Due to limited room capacity, you must pre-register at the link for admission).

Welcome to the monthly in-person AI meetup in London. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

Agenda: * 6:00pm\~7:00pm: Checkin, Food/drink and Networking * 7:00pm\~9:00pm: Tech talks and Q&A * 9:00pm: Open discussion and Mixer

Tech Talk: Deploy self-hosted open-source AI solutions Speaker: Dmitri Evseev @Arbitration City Abstract: I will share practical insights from my journey from law firm partner to AI startup founder, focusing on deploying self-hosted, open-source AI solutions in the legal sector and beyond. I will discuss the benefits of self-hosting over third-party APIs, the challenges of implementing these systems for production use, and methods to optimise GPU usage with open-source tools. The talk will also cover approaches to integrate containerised architectures and encryption for secure, scalable AI deployment, aiming to assist the LLMOps community and others exploring self-hosted AI and retrieval-augmented generation (RAG).

Tech Talk: Falcon OS - An open source LLM Operating System Speaker: Heiko Hotz (Google) Abstract: In this talk I will introduce the Falcon OS project, a collaboration with the Technology Innovation Institute and Weights & Biases. Falcon OS is a new operating system project centered around the open-source Falcon 40B LLM. It aims to simplify complex tasks through natural language, bridging the gap between users and computers. This talk will explore its potential to transform AI applications and what it takes for an LLM to be able to reason and act, a key capability for such a system.

Tech Talk: Navigating LLM Deployment: Tips, Tricks, and Techniques Speaker: Meryem Arik (TitanML) Abstract: Self-hosted Language Models are going to power the next generation of applications in critical industries like financial services, healthcare, and defence. Self-hosting LLMs, as opposed to using API-based models, comes with its own host of challenges - as well as needing to solve business problems, engineers need to wrestle with the intricacies of model inference, deployment and infrastructure. In this talk we are going to discuss the best practices in model optimisation, serving and monitoring - with practical tips and real case-studies.

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 10,000+ local or 300K+ developers worldwide.

Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (search and join the #london channel) \| Join Discord

Event Description: Welcome to the AI Frontiers Forum: London, a distinguished event where the cutting-edge of artificial intelligence meets practical implementation. This forum is meticulously crafted for industry leaders eager to bridge the gap between aspirational AI objectives and their real-world application.

Why Attend? The AI Frontiers Forum: London is more than a gathering; it's a convergence of pioneering ideas, actionable solutions, and expert-led discussions. Our event features a series of insightful talks and panel discussions helmed by renowned thought leaders in AI.

Agenda 11:00 - 11:30 - Triumphing in the AI-first world with Francesca Tabor 11:30 - 12:00 - Responsible AI Strategy with the GRACE Platform with Liam Sapsford 12:00 - 12:30 - Understanding AI's Role in Financial Services: Emphasizing data maturity and unlocking AI's potential with Oladimeji Kazeem 12:30 - 13:00 - The integrity of infrastructure and systems in a scaled AI operation with Afiya Chohollo

Target Audience: This forum is specifically designed for executives and key decision-makers across diverse sectors, including Finance & Banking, Software & Tech, Manufacturing, Transportation, Public Sector, and Life Sciences. It's an essential platform for those committed to integrating AI into their strategic vision.

Networking and Collaborative Opportunities: AI Frontiers Forum: London is not just about insight; it’s about connection. Engage with industry peers, partake in enriching discussions, and forge partnerships that can elevate your AI initiatives.

Join Us: Be a part of this exclusive forum where visionary AI concepts are transformed into impactful business solutions. Discover, debate, and design the future of AI in your industry. Secure your place at AI Frontiers Forum: London and turn your AI ambitions into tangible outcomes. Embark on a journey to redefine AI's role in your business and beyond. We eagerly await your presence at the AI Frontiers Forum: London.

Lakehouse architecture has become a valuable solution for unifying data processing for AI, but faces limitations in maximizing data’s full potential. Additional data infrastructure is helpful for strengthening data consolidation and data connectivity with third-party sources, which are necessary for building full data sets for accurate audience modeling. 

In this session, LiveRamp will demonstrate to data and analytics decision-makers how to build on the Lakehouse architecture with extensions for collaborative identity graph construction, including how to simplify and improve data enrichment, data activation, and data collaboration. LiveRamp will also introduce a complete data marketplace, which enables easy, pseudonymized data enhancements that widen the attribute set for better behavioral model construction.

With these techniques and technologies, enterprises across financial services, retail, media, travel, and more can safely unlock partner insights and ultimately produce more accurate inputs for personalization engines, and more engaging offers and recommendations for customers.

Talk by: Erin Boelkens and Shawn Gilleran

Here’s more to explore: A New Approach to Data Sharing: https://dbricks.co/44eUnT1

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

To access this webinar, please register here: https://hubs.li/Q01Sj3Jn0

Topic: “A Path to Insights Starts with Trusted Data: Accelerating Decisions with Third-Party Data in Financial Services”

Speaker: Tim McKenzie, Senior Business Architect, Financial Services at Precisely

Tim leads a team dedicated to helping clients unlock the value that is hidden in the massive amounts of data collected about customers, infrastructure and products. With over 20 years of experience engaging with customers about technology, he has developed a proven track record of delivering value in every engagement. His team is helping some of the largest companies in the world leverage their own data to acquire more customers, ensure quality of service, optimize networks and much, much more. Precisely is a leader in data and location intelligence solutions before Big Data was "big data" and we continue to deliver innovative solutions that leverage the amazing technologies available today. Through our solutions, we provide relevant business insight to ensure that our clients are able to obtain meaningful business value based upon the insights that we provide.

Abstract: In the face of growing competition, financial services institutions must adopt a strategic approach to their future investments. And with a myriad of critical decisions such as branch site selection, lending, and fraud detection heavily reliant on data, you simply can’t overstate the significance of having a comprehensive understanding of potential risks and opportunities.

Your ability to make confident decisions based on relevant factors relies on accurate data filled with context. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

Topics that will be addressed include:

• Real-world examples in Financial Services where location data informs decision making
• Fueling operational efficiency with third-party data and expertise
• Techniques for building location intelligence and using the context it provides more widely and effectively

The value of location intelligence and 3rd-party data is a business imperative in the financial industry across multiple use cases. Evaluating risk, identifying operational efficiencies, and optimizing revenue opportunities all call for hyper-accurate data for more data-driven decisions to maximize resources already stretched thin. When investing in 3rd-Party data, understanding ‘best-in-class’ capabilities will bring you the ROI you need to unlock the power of data.

Topics that will be addressed include:

• How third-party data and expertise can optimize your operations
• Best practices in location-enabling strategies for data analytics
• Considerations around data enrichment requirements
• FS-specific use cases where location data informs data-driven decisions

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01Qnvfb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q01Sj3Jn0

Topic: “A Path to Insights Starts with Trusted Data: Accelerating Decisions with Third-Party Data in Financial Services”

Speaker: Tim McKenzie, Senior Business Architect, Financial Services at Precisely

Tim leads a team dedicated to helping clients unlock the value that is hidden in the massive amounts of data collected about customers, infrastructure and products. With over 20 years of experience engaging with customers about technology, he has developed a proven track record of delivering value in every engagement. His team is helping some of the largest companies in the world leverage their own data to acquire more customers, ensure quality of service, optimize networks and much, much more. Precisely is a leader in data and location intelligence solutions before Big Data was "big data" and we continue to deliver innovative solutions that leverage the amazing technologies available today. Through our solutions, we provide relevant business insight to ensure that our clients are able to obtain meaningful business value based upon the insights that we provide.

Abstract: In the face of growing competition, financial services institutions must adopt a strategic approach to their future investments. And with a myriad of critical decisions such as branch site selection, lending, and fraud detection heavily reliant on data, you simply can’t overstate the significance of having a comprehensive understanding of potential risks and opportunities.

Your ability to make confident decisions based on relevant factors relies on accurate data filled with context. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

Topics that will be addressed include:

• Real-world examples in Financial Services where location data informs decision making
• Fueling operational efficiency with third-party data and expertise
• Techniques for building location intelligence and using the context it provides more widely and effectively

The value of location intelligence and 3rd-party data is a business imperative in the financial industry across multiple use cases. Evaluating risk, identifying operational efficiencies, and optimizing revenue opportunities all call for hyper-accurate data for more data-driven decisions to maximize resources already stretched thin. When investing in 3rd-Party data, understanding ‘best-in-class’ capabilities will bring you the ROI you need to unlock the power of data.

Topics that will be addressed include:

• How third-party data and expertise can optimize your operations
• Best practices in location-enabling strategies for data analytics
• Considerations around data enrichment requirements
• FS-specific use cases where location data informs data-driven decisions

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01Qnvfb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q01Sj3Jn0

Topic: “A Path to Insights Starts with Trusted Data: Accelerating Decisions with Third-Party Data in Financial Services”

Speaker: Tim McKenzie, Senior Business Architect, Financial Services at Precisely

Tim leads a team dedicated to helping clients unlock the value that is hidden in the massive amounts of data collected about customers, infrastructure and products. With over 20 years of experience engaging with customers about technology, he has developed a proven track record of delivering value in every engagement. His team is helping some of the largest companies in the world leverage their own data to acquire more customers, ensure quality of service, optimize networks and much, much more. Precisely is a leader in data and location intelligence solutions before Big Data was "big data" and we continue to deliver innovative solutions that leverage the amazing technologies available today. Through our solutions, we provide relevant business insight to ensure that our clients are able to obtain meaningful business value based upon the insights that we provide.

Abstract: In the face of growing competition, financial services institutions must adopt a strategic approach to their future investments. And with a myriad of critical decisions such as branch site selection, lending, and fraud detection heavily reliant on data, you simply can’t overstate the significance of having a comprehensive understanding of potential risks and opportunities.

Your ability to make confident decisions based on relevant factors relies on accurate data filled with context. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

Topics that will be addressed include:

• Real-world examples in Financial Services where location data informs decision making
• Fueling operational efficiency with third-party data and expertise
• Techniques for building location intelligence and using the context it provides more widely and effectively

The value of location intelligence and 3rd-party data is a business imperative in the financial industry across multiple use cases. Evaluating risk, identifying operational efficiencies, and optimizing revenue opportunities all call for hyper-accurate data for more data-driven decisions to maximize resources already stretched thin. When investing in 3rd-Party data, understanding ‘best-in-class’ capabilities will bring you the ROI you need to unlock the power of data.

Topics that will be addressed include:

• How third-party data and expertise can optimize your operations
• Best practices in location-enabling strategies for data analytics
• Considerations around data enrichment requirements
• FS-specific use cases where location data informs data-driven decisions

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01Qnvfb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q01Sj3Jn0

Topic: “A Path to Insights Starts with Trusted Data: Accelerating Decisions with Third-Party Data in Financial Services”

Speaker: Tim McKenzie, Senior Business Architect, Financial Services at Precisely

Tim leads a team dedicated to helping clients unlock the value that is hidden in the massive amounts of data collected about customers, infrastructure and products. With over 20 years of experience engaging with customers about technology, he has developed a proven track record of delivering value in every engagement. His team is helping some of the largest companies in the world leverage their own data to acquire more customers, ensure quality of service, optimize networks and much, much more. Precisely is a leader in data and location intelligence solutions before Big Data was "big data" and we continue to deliver innovative solutions that leverage the amazing technologies available today. Through our solutions, we provide relevant business insight to ensure that our clients are able to obtain meaningful business value based upon the insights that we provide.

Abstract: In the face of growing competition, financial services institutions must adopt a strategic approach to their future investments. And with a myriad of critical decisions such as branch site selection, lending, and fraud detection heavily reliant on data, you simply can’t overstate the significance of having a comprehensive understanding of potential risks and opportunities.

Your ability to make confident decisions based on relevant factors relies on accurate data filled with context. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

Topics that will be addressed include:

• Real-world examples in Financial Services where location data informs decision making
• Fueling operational efficiency with third-party data and expertise
• Techniques for building location intelligence and using the context it provides more widely and effectively

The value of location intelligence and 3rd-party data is a business imperative in the financial industry across multiple use cases. Evaluating risk, identifying operational efficiencies, and optimizing revenue opportunities all call for hyper-accurate data for more data-driven decisions to maximize resources already stretched thin. When investing in 3rd-Party data, understanding ‘best-in-class’ capabilities will bring you the ROI you need to unlock the power of data.

Topics that will be addressed include:

• How third-party data and expertise can optimize your operations
• Best practices in location-enabling strategies for data analytics
• Considerations around data enrichment requirements
• FS-specific use cases where location data informs data-driven decisions

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01Qnvfb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q01Sj3Jn0

Topic: “A Path to Insights Starts with Trusted Data: Accelerating Decisions with Third-Party Data in Financial Services”

Speaker: Tim McKenzie, Senior Business Architect, Financial Services at Precisely

Tim leads a team dedicated to helping clients unlock the value that is hidden in the massive amounts of data collected about customers, infrastructure and products. With over 20 years of experience engaging with customers about technology, he has developed a proven track record of delivering value in every engagement. His team is helping some of the largest companies in the world leverage their own data to acquire more customers, ensure quality of service, optimize networks and much, much more. Precisely is a leader in data and location intelligence solutions before Big Data was "big data" and we continue to deliver innovative solutions that leverage the amazing technologies available today. Through our solutions, we provide relevant business insight to ensure that our clients are able to obtain meaningful business value based upon the insights that we provide.

Abstract: In the face of growing competition, financial services institutions must adopt a strategic approach to their future investments. And with a myriad of critical decisions such as branch site selection, lending, and fraud detection heavily reliant on data, you simply can’t overstate the significance of having a comprehensive understanding of potential risks and opportunities.

Your ability to make confident decisions based on relevant factors relies on accurate data filled with context. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

Topics that will be addressed include:

• Real-world examples in Financial Services where location data informs decision making
• Fueling operational efficiency with third-party data and expertise
• Techniques for building location intelligence and using the context it provides more widely and effectively

The value of location intelligence and 3rd-party data is a business imperative in the financial industry across multiple use cases. Evaluating risk, identifying operational efficiencies, and optimizing revenue opportunities all call for hyper-accurate data for more data-driven decisions to maximize resources already stretched thin. When investing in 3rd-Party data, understanding ‘best-in-class’ capabilities will bring you the ROI you need to unlock the power of data.

Topics that will be addressed include:

• How third-party data and expertise can optimize your operations
• Best practices in location-enabling strategies for data analytics
• Considerations around data enrichment requirements
• FS-specific use cases where location data informs data-driven decisions

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