Managing Model Development@2x-min

Managing Model Development – with Katie Bakewell of NLP Logix

As a business practice, model development aims to create a dataset, tailored through machine learning, that can accurately predict outcomes or classify data based on input variables. By following a structured approach, developers can ensure that the model development process is efficient, effective, and reproducible.

001 – Using ChatGPT Responsibly in Financial Services – with Scott Zoldi of FICO copy

Using ChatGPT Responsibly in Financial Services – with Scott Zoldi of FICO

Traditionally, responsible AI management practices are not just a matter of theoretical ethics debates but a practical matter of compliance. Financial sectors are highly regulated and monitored to ensure the safety and security of consumers and the overall economy. Many of those regulations are written so that responsible management practices are meant to avoid penalties. 

001 – Market Surveillance and AI – Two Use Cases-min

Market Surveillance and AI – Two Use Cases

Market surveillance refers to activity authorities conduct to ensure that products available to consumers adhere to applicable laws and regulations. Additionally, market surveillance in banking and finance takes a somewhat specific form.

AI for Customer Experience-Focused Marketing – with David Greenberg of Conversica@2x-min

AI for Customer Experience-Focused Marketing – with David Greenberg of Conversica

From work-from-home policies and digital-first communication with prospects – the COVID-19 pandemic dramatically accelerated many trends already in progress for businesses and consumers. Among sales teams, digitally enabling buyer journeys became a must-have almost overnight.

001 – Leveraging Knowledge Graphs in Life Sciences – with Krishna Bulusu of AstraZeneca-min

Leveraging Knowledge Graphs in Life Sciences – with Krishna Bulusu of AstraZeneca

Knowledge graphs have grown into a major trend in life sciences since the term was introduced by Google in 2012. However, despite this recent uptick in use, they significantly impact the space. Knowledge graphs enable several critical functions within life sciences, including drug development, literature review, and regulatory reporting.

001 – Artificial Intimacy – The Impact of AI-Generated Pornography-min

Artificial Intimacy: How AI-Generated Pornography is Changing Society

The internet is really, really great
For porn-
I've got a fast connection, so I don't have to wait
For porn-
There's always some new site,
For porn!
I browse all day and night,
For porn!
It's like I'm surfing at the speed of light,
For porn!

001 – The Foundational Phase of CX Transformation – with Aamar Hussain of Microsoft-min

The Foundational Phase of CX Transformation – with Aamar Hussain of Microsoft

Customer experience (CX) teams often face a complicated puzzle when it comes to budgetary decisions and resource allocation within their organizations.

002 – AI at MetLife-min

Artificial Intelligence at MetLife – Three Use Cases

MetLife is a leading global insurance company headquartered in New York City. It provides its customers various insurance and financial services, including life insurance, health insurance, retirement plans, and investment management.

002 – Building an Effective AI Team in Financial Services – with Lori Cenci of HSBC-min

Building an Effective AI Team in Financial Services – with Lori Cenci of HSBC

AI is revolutionizing how companies conduct operations, serve customers, and manage risks – driving a USD 20 Billion investment in AI capabilities among BFSI firms last year. As AI continues to transform the industry, financial services organizations will seek to build effective AI teams to stay ahead of the competition. 

4th OECD Global Forum@2x-min (3)

Emerj at the Fourth OECD Global Forum on Digital Security for Prosperity

Event Title: 4th OECD Global Forum on Digital Security for Prosperity

Event Host: OECD

Location: Paris, France