Chatbots and AI in Fintech

On August 1, news of a bitcoin "hard fork" broke the cryptocurrency world. Traders were flung into uncertainty and many started wondering about the new Bitcoin Cash and what it means for the market.

Should you invest in Bitcoin Cash? Why fork Bitcoin rather than just using a pre-existing cryptocurrency? Will there be more drastic price changes in the different cryptocurrencies? Will the value of bitcoin be diluted? What comes next?

Join this session where an expert panel of bitcoin investors, engineers and entrepreneurs will discuss what you need to know about the bitcoin fork, the current situation of the market, the impacts of the hard fork, and their predictions for the future.

They will also take audience questions live so make sure to tune in and have your questions ready.

Moderator: Ina Yulo, Senior Content Strategy Manager at BrightTALK

Panelists:
David Siegel, Blockchain and decentralization expert at 20|30
Jameson Lopp, software engineer at BitGo and creator of Statoshi fork of Bitcoin Core
Dr. Craig Wright, Chief Scientist at nChain

George & Ryan Talk about 5 articles:

DBRS Student Loan ABS report
Goldman Sachs is looking to spinoff one of its tech bets at a $ 75 million valuation
The State Of Consumers And Technology: Benchmark 2017, US
SoFi loses another senior executive, as chief revenue officer Michael Tannenbaum departs
SoFi CEO: Why Ethereum Is Much More Valuable Than Bitcoin

In an increasingly digitalised world, the value of information grows ever higher. Winning organisations – whether in financial services or any other vertical sector – will be those who can harness the power of data analytics to develop microscopic levels of insight and foresight into customer behaviours and operational activities in order to make progressive improvements on a continuous basis. Product development informed by factual evidence rather than educated guesswork, or real-time risk management based on a hyper-accurate picture of exposures, bring significant internal and external benefits.

However, while banks want to get closer to their customers, is the feeling mutual? Data privacy is a very sensitive issue, and the perception of what constitutes intrusion will likely vary between individuals. Institutions, therefore, need to walk a fine line between what’s genuinely useful and what’s genuinely creepy.

During this webinar, a panel of respected subject matter experts will discuss and dissect the key issues related to the widespread use of data analytics in financial services, identifying the obstacles which need to be overcome and the enablers that will drive FS forward successfully.

Financial Services companies rely on personal data for both their retail and business customers. Legislation and regulation, such as AMLD4, PSD2 and GDPR; both control and mandate its use.

How can FS companies manage and use the data effectively? Join this panel where we'll discuss the many new regulations coming up and what you should be doing as early as now to prepare your organisation and optimise your processes.

Personal data is a highly valuable asset. The winners of the future will be the organisations that make privacy intrinsic to data innovation. Join this webinar to learn how emerging best practices and technological solutions are helping financial institutions tackle data privacy in analytics and ML and drive commercial benefit.

Privitar is a leading privacy engineering software company. Privitar enables organisations to use, share and derive insight data safely. Privitar creates opportunities by allowing broader use of valuable information assets for collaboration and sharing, whilst reducing the risk associated with storing, processing and using sensitive data due to data breaches, regulatory penalties and the misuse of data.

Big data, to date, has been focused on external drivers such as customer economics and market intelligence. To compete, market leaders must leverage machine learning and artificial intelligence to aggressively ingest and respond to both external and internal data-centric insights. There is no exception. FSI must both innovate and transform to stay relevant.

Today, Angelique Mohring discusses why FSIs must leverage AI to master the future by driving greater ROI on multi-million/billion dollar innovation and transformation spend.

Join BrightTALK and Startup Bootcamp NYC for a live broadcast of two sessions:

The Twitter White House: How Tweets are Changing the Political Information Paradigm

Learn how social data has become the tripwire for staying ahead of global market volatility in the era of President Trump. It’s clear that we’ve seen a major shift in the way news is flowing across the political landscape over the past few months. The question is, how are financial professionals positioned to ensure they are able to stay ahead of this new phenomenon? This shift in how news is breaking is making detecting and ultimately leveraging the valuable signals coming from Twitter more important than ever for the financial information industry.

Robert Mata, Director of Marketing, Finance, Dataminr

The Trump Effect - How will the Trump administration's policies impact the markets?

Join FISD for a blockbuster Learning & Libations event. John Duncan, policy expert, will discuss the public policy agenda under the new President and Congress, particularly as it impacts the issues investors should consider in various sectors including financial services/mortgages, health care, energy, industrials, as well as broader fiscal policy.

John Duncan, Principal, Meridian Research Group

In the recent years, financial services have made a significant investment in the big data infrastructures but have yet to see adequate returns on applying analytics to them. Artificial intelligence and machine learning bring new capacities regarding data discovery and advanced anomaly detection while helping finance professionals create new efficient workflows around data discovery. The real value of AI is in uncovering new patterns and fully leveraging big-data. By applying fast, AI empowered analytics against data structures, the return on the value of IT investment is quickly realized.

Technological breakthroughs like Artificial Intelligence is having a disproportionate effect on financial services. It has the potential to introduce new sources of growth and is already changing how work is done. With its advanced self-learning algorithms, it is enhancing the professional judgment of finance professionals in finding “needle in a haystack” fraud attempts and material misstatements that otherwise would go unnoticed with antiquated approaches.

This webinar is intended to help you understand that Ai and autonomous systems are affecting major aspects of financial services. These technologies are well poised to give a never-before advantage to financial institutions.

Bio of the speaker:
Solon Angel is an enterprise innovator, visionary founder and Chief Strategy Officer of MindBridge Ai. His time in Silicon Valley shaped his business philosophy of watching trends and building product-centric companies that solve massive market problems. Solon’s 16 years of experience in high-tech firms ranging from ERP, CRM, venture capital to business analytics and deep knowledge of CAATs as the former product manager at audit analytics company, make him the perfect technology strategist to reshape how companies around the world detect misstatement, fraud and reduce organizational risk

Death to Spreadsheets!

Despite the growing popularity of data visualization tools across all industries, the finance sector still relies heavily on seeing data presented in tabular form. Analysts in financial institutions often spend a large part of their day pouring over spreadsheets, extracting numbers, pivoting tables, running macros and making adjustments before creating static reports to print for management meetings.
But what happens if you have another question?


We argue that there is a better way to approach financial data and to unlock more of the collective brain power of your analysts. We will show you a number of options for visualizing financial results, highlighting trends and developing KPI dashboards that provide real insights quickly. Because there are more valuable things your staff could be doing than wrangling with spreadsheets

As Financial Institutions adapt to the digital world, and the digital consumer, data and analytics are becoming increasingly important in their fight to provide customer support, offerings, accuracy and services and optimize their processes.

But the challenges of a bank or large financial institution can be very different to the average companies. From restrictive compliance, ever-changing regulations, huge branch networks, massive amounts of employees and mind-boggling amount of customers and financial data - any data and analytics task can be truly intimidating.

So how are modern financial institutions coping and adapting to the data oriented world, and what are the tools that are helping them?

Find out in this panel discussion featuring:
David Daniel, VP, Banc Intranets
Jim Callan, CEO, Econiq
James McHale, GM of Analytics, Baker Hill

And more as they discuss the realities of large financial institutions data difficulties, and how they're overcoming these challenges.

Green data is clean data. Just like clean energy can power an industrial revolution, clean data can power a financial revolution but we have to start thinking green. This means standardizing how we report and access ALL business data. If we do, the result will be a transformed financial industry where every citizen can take part and capital can be allocated more efficiently.

So join Rachel Carpenter, Co-founder & CEO of Intrinio as she discusses the future of data in the financial world. Attend live and discover:
- What is Green Data?
- What goes on behind the scenes?
- Who is making data more efficient, and how?
- How can we use data differently?
- Why and how is data being democratized?
- How does the future of data look?
- How can you take advantage of Green Data?
- What can you do to stay ahead?

A smart portfolio can mean the difference between a comfortable life and a constant struggle. Most people make poor, emotionally based investment decisions with many biases. Even investing professionals who studied Modern Portfolio Theory did not help their clients in the Global Financial Crisis.

In fact, when I ask professional investment advisors if they would hire themselves if they had $100 million in the bank, they all say of course not. Most pundits, from celebrity investment gurus to leading academics, have simply been wrong about markets and their predictability.

We are entering a new era of machine trading, where the average person has no chance to systematically outperform the markets. Learn about post-modern portfolio theory with David Siegel and start building a smart portfolio today.