What GPT-3 and AI Generated Text Means for the Future of Written Content@2x

What GPT-3 and AI-Generated Text Means for the Future of Written Content – with Peter Welinder of OpenAI

It is not hyperbolic to state that the autoregressive language model known as GPT-3 (short for ‘Generative Pre-trained Transformer 3’) is an unparalleled evolutionary step in content creation. In fact, the potential outputs the model can produce are so advanced that many academics have cited GPT-3 as Exhibit A in calling universities to reconsider what constitutes academic plagiarism. 

Optimizing the Entire Conversation@2x

Optimizing the Entire Conversation: Three Phases of Conversational CX Transformation

This article was not sponsored, but draws upon a webinar sponsored by Uniphore. This article was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Fueling AI Services Growth@2x

Fueling AI Services Growth – Five Emerj Media Customer Stories

The AI vendor market is as diverse as the global economy itself. As AI applications evolve into every corner of our lives, so do the expertise and proficiency of the data professionals, business leaders and subject matter experts at the heart of the products and services transforming how we live and work.

Artificial Intelligence at DBS Bank@2x

Artificial Intelligence at DBS Bank – Two Use Cases

DBS Bank is a Singaporean multinational banking and financial services company. The bank has over 150 branches in Singapore alone and by total assets, DBS is the country’s largest bank.

Using Decision Augmentation for Client Retention@2x

Using Decision Augmentation for Client Retention – with Emily Bremner of Signal AI

Actionable, decision-augmenting data can be obtained internally or externally. Of course, external data is a far richer and more diverse source, as it comprises every other piece of digital information outside of the four walls of an enterprise. 

Closing the Human-Data Science Cultural Gap in Compliance@2x (1)

Closing the Human-Data Science Cultural Gap in Compliance — with Gary Class and Kai Schrimpf

This interview analysis is sponsored by SambaNova Systems was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Improving 
PCI Compliance 
in Banking@2x

Improving PCI Compliance in Banking with AI – Two Use Cases

Payment Card Industry (PCI) compliance is a rite of passage for emerging businesses, or at least a compelling marketing narrative for those who take the initiative to achieve certification before partners, future deals and business circumstances demand it.

Artificial Intelligence 
at Twitter@2x

Artificial Intelligence at Twitter – Two Current Use Cases

Twitter is an American communications company based in San Francisco, California, best known for the microblogging and social networking site of the same name. As of January 2022, the company had over 229 million daily active users.

Succeeding with Initial AI Projects in Financial Services@2x

Succeeding with Initial AI Projects in Financial Services – with Gero Gunkel of Zurich Insurance

Starting an early AI project is challenging for large and small enterprises. Perhaps no industry is more aware of these challenges than the highly regulated and especially tradition-oriented financial services sector.

RPA Examples in Banking@2x

RPA Examples in Banking – Three Use Cases

Today, most robotic process automation (RPA) applications in banking consist of deterministic software tools that are not categorically considered artificial intelligence. For most use cases, RPA can be a trustworthy foundation to apply AI and drive even more efficiencies from the workflows they're looking to streamline.