2023-Management-Akkio

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Interactive transcript
CRAIG WISNESKI: I'm Craig. I'm one of the co-founders of Akkio. And we are one of the MIT STEX25 companies that are most industry ready. In the last year, AI has really blossomed into a technology that companies can take advantage of to be more efficient.
Today, copywriters are using ChatGPT to write copy faster. Software engineers are using copilot to write code faster. Designers are using Dolly to create images faster. And increasingly, data analysts are using Akkio to get value out of their business data faster.
Someday soon, and it's probably coming even faster than any of us expected, someday soon, every part of your business will run on AI or with the help of AI. Most companies today have had success in small pockets of their company. But it hasn't yet really pervaded and gotten pervasive into all areas of their business. Now why is that?
Well, it's simple. It's because AI is hard. Data science oftentimes feels like science. And the people who can work with it are few and far between and their plates are full. So that's why we started Akkio.
Akkio is easy machine learning that will allow your business to be more efficient. We allow data analysts in your company to prepare data faster, to get it ready for modeling and using for machine learning faster. We let people understand and drive insights out of your data more easily. We let you create models to predict the future more accurately. And we get you to data driven decision making in days, not months.
We're an end-to-end platform geared towards data analysts. We help data analysts do the things they do today like prepare data or create insights. We help them do that faster. And then we give data analysts the superpowers that data scientists have today in using machine learning to create models and put those models into deployment.
We live and die by ease of use. Incredible business value can be made by making powerful technologies easy. Just look at Apple. Or if you need another example, GPT-3, which we're all talking about now has been around for three years. But it's only recently exploded in popularity due to becoming more accessible to more people.
I'll give you a quick example of one of the things we do to make a data analyst life more efficient. We have a feature called chat data prep. 80% of a data analyst time is spent cleaning and preparing data, creating transforms, manipulating it, getting it ready for insights or modeling. Typically, someone will be writing SQL or heaven forbid vlookups in Excel.
With Akkio, a data analyst now just to write a natural language statement of what they want to have happen to their data. Akkio will take that natural language statement and do all the necessary things they need-- that we need to do to it, to turn it into SQL, run that SQL on the database. And instantly, the analyst will be able to transform their data simply by writing statements and language.
Here's one customer who's today, gotten a lot of value out of Akkio. Sterling Strategies, they're a political fundraising company. In the last election cycle, they worked with about 1,000 candidates to do better matching of the candidate's fundraising efforts to millions of donors out there.
The CEO of Sterling Strategies used Akkio. And he said all of a sudden in one day, I can do as much data analysis as it would take my team a week. This is what we're looking for.
Actually, I'll go right here. Who's ready for Akkio and to do this? We've had the most success so far with companies that are machine learning ready, companies that have typically invested in creating a data pipeline, a data warehouse. They have some data analytics staff on hand.
And they're-- and they've had some small success. And they know where the pockets are where they could go do more. I'd love to show you how easy it is to take advantage of your data and do more machine learning and more areas of your company. Come see a demo of what Akkio can do at the break. Thanks.
[APPLAUSE]
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Interactive transcript
CRAIG WISNESKI: I'm Craig. I'm one of the co-founders of Akkio. And we are one of the MIT STEX25 companies that are most industry ready. In the last year, AI has really blossomed into a technology that companies can take advantage of to be more efficient.
Today, copywriters are using ChatGPT to write copy faster. Software engineers are using copilot to write code faster. Designers are using Dolly to create images faster. And increasingly, data analysts are using Akkio to get value out of their business data faster.
Someday soon, and it's probably coming even faster than any of us expected, someday soon, every part of your business will run on AI or with the help of AI. Most companies today have had success in small pockets of their company. But it hasn't yet really pervaded and gotten pervasive into all areas of their business. Now why is that?
Well, it's simple. It's because AI is hard. Data science oftentimes feels like science. And the people who can work with it are few and far between and their plates are full. So that's why we started Akkio.
Akkio is easy machine learning that will allow your business to be more efficient. We allow data analysts in your company to prepare data faster, to get it ready for modeling and using for machine learning faster. We let people understand and drive insights out of your data more easily. We let you create models to predict the future more accurately. And we get you to data driven decision making in days, not months.
We're an end-to-end platform geared towards data analysts. We help data analysts do the things they do today like prepare data or create insights. We help them do that faster. And then we give data analysts the superpowers that data scientists have today in using machine learning to create models and put those models into deployment.
We live and die by ease of use. Incredible business value can be made by making powerful technologies easy. Just look at Apple. Or if you need another example, GPT-3, which we're all talking about now has been around for three years. But it's only recently exploded in popularity due to becoming more accessible to more people.
I'll give you a quick example of one of the things we do to make a data analyst life more efficient. We have a feature called chat data prep. 80% of a data analyst time is spent cleaning and preparing data, creating transforms, manipulating it, getting it ready for insights or modeling. Typically, someone will be writing SQL or heaven forbid vlookups in Excel.
With Akkio, a data analyst now just to write a natural language statement of what they want to have happen to their data. Akkio will take that natural language statement and do all the necessary things they need-- that we need to do to it, to turn it into SQL, run that SQL on the database. And instantly, the analyst will be able to transform their data simply by writing statements and language.
Here's one customer who's today, gotten a lot of value out of Akkio. Sterling Strategies, they're a political fundraising company. In the last election cycle, they worked with about 1,000 candidates to do better matching of the candidate's fundraising efforts to millions of donors out there.
The CEO of Sterling Strategies used Akkio. And he said all of a sudden in one day, I can do as much data analysis as it would take my team a week. This is what we're looking for.
Actually, I'll go right here. Who's ready for Akkio and to do this? We've had the most success so far with companies that are machine learning ready, companies that have typically invested in creating a data pipeline, a data warehouse. They have some data analytics staff on hand.
And they're-- and they've had some small success. And they know where the pockets are where they could go do more. I'd love to show you how easy it is to take advantage of your data and do more machine learning and more areas of your company. Come see a demo of what Akkio can do at the break. Thanks.
[APPLAUSE]