ATHENA (athenabrands.io)

[ATHENA (athenabrands.io) @ATHENAbrandsio]

91% of CEOs in Fortune 2000 companies through mid-size private companies would like a private confidant for AI strategies.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

What if... you could save 80 hours a month on meeting follow up and emails?  ATHENA creates Incoming for any organization with so many emails and so little time.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

Too many emails and too little time.  ATHENA created an internal app to respond to emails using unstructured data across the entire organization.  The result, employees are gaining back 10 hrs a week on average.  Human+AI+Automation=Exponential Productivity=MoreTime4What Matters

[ATHENA (athenabrands.io) @ATHENAbrandsio]

You need an AI strategy and it's too important to be left to the tech team alone.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

"Buying AI products is like buying software in the 80s.  Too many options and not enough time to review them all."  - Lily Brinson, Founder ATHENA SFAM

[ATHENA (athenabrands.io) @ATHENAbrandsio]

78% of CTOs feel that when it comes to AI they'd welcome an expert alongside them outside of their organization to co-create the AI roadmap and for data preparation checks

[ATHENA (athenabrands.io) @ATHENAbrandsio]

"AI results are the responsibility of the CEO and the Board of Directors, but they don't need to do it alone." - Tracy Jordan, President and Founder, ATHENA

[ATHENA (athenabrands.io) @ATHENAbrandsio]

82% of CTOs want to roll out a private LLM in the next 3 to 6 months

[ATHENA (athenabrands.io) @ATHENAbrandsio]

76% of C-suite executives struggle to know how to put AI to strategic business use.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

Unstructured data is the gold standard of machine learning, yet too many executives try to wrap old-thinking structure around it. - Amanda Besemer, Chief AI Officer and Founder, ATHENA

[ATHENA (athenabrands.io) @ATHENAbrandsio]

3 out of 4 C-suite executives believe that if they don’t scale artificial intelligence in the next five years, they risk going out of business entirely.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

Establishing clear goals, prioritizing features, and identifying relevant use cases will be instrumental in successfully integrating LLMs into the product offerings and driving industry innovation.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

In the dynamic landscape of software-as-a-service (SAAS), the imperative to reimagine product roadmaps extends to integrating Language Model Libraries (LLMs) alongside AI.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

Integrating LLMs into SAAS product roadmaps requires a strategic and collaborative approach involving cross-functional teams such as product, engineering, data science, and legal/compliance.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

Identifying opportunities to automate cross-product workflows using LLMs can create a seamless ecosystem that enhances user experiences,
eliminates inefficiencies, and accelerates data transfers and information extraction.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

Additionally, SAAS companies must extend their focus beyond their product’s boundaries and explore interactions with external systems.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

By automating routine tasks through LLM integration, companies can optimize productivity, minimize errors, and allocate resources towards value-added endeavors.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

Moreover, SAAS companies should assess their product workflows and recognize predictable sequences where LLMs can streamline manual processes.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

This entails identifying areas within the application where LLMs can be seamlessly integrated to augment language interfaces and empower the application to deliver more accurate and personalized responses.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

To embark on this transformative journey, SAAS companies must adopt a forward-thinking perspective and envision building their products from the ground up, infused with the capabilities of LLMs.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

By reimagining product roadmaps to integrate LLMs, SAAS companies can harness the full potential of AI and provide their customers with enhanced language processing and intelligent decision-making capabilities.

[ATHENA (athenabrands.io) @ATHENAbrandsio]

These powerful language models have the capacity to analyze and generate insights, enabling SAAS applications to comprehend user queries more intelligently and deliver personalized results with exceptional accuracy.