SAIBRE Platform
2021 saw the announcement of SAIBRE, Sonasoft’s newly developed AI engine. SAIBRE cements Sonasoft’s position as a pioneer in AI platform technology, delivering rapid, enterprise-grade production AI bots focused on large, global OEM partners. This new AI engine has been developed from the ground up and focuses on rapid iterations and experimentation, enabling faster development and deployment of AI bots. This is backed up with a zero-effort AI approach that simplifies the scaling, monitoring and maintenance of these bots in production. “SAIBRE is perfect for teams that don’t want to invest in building million dollar data science teams but still want to leverage AI transformation,” said
One of the key aims with SAIBRE has been to develop a UI that is clean, efficient, and flexible. SAIBRE encourages collaboration within and between teams to find the best possible AI solution for a given dataset. Datasets can be built by combining data from multiple sources. Every dataset can then be leveraged for different use cases and multiple approaches to solving those use cases. AI bots are built in an inherently logical fashion, bolting together different pieces to create a full workflow. Once you are happy with the results, deploying the bot just takes a couple of clicks. At the same time, the SAIBRE UI allows more technical users to capture their insights into simple building blocks that can be leveraged by all users. As SAIBRE continues to grow, there will be a strong focus on simplicity, team collaboration, and even gamification.
In the fall of 2021,
Avoiding Common AI Pitfalls
In 2019, VentureBeatAI reported that 87% of AI projects never make it to production (https://venturebeat.com/2019/07/19/why-do-87-of-data-science-projects-never-make-it-into-production/). There are numerous reasons, including:
- The introduction of bias due to preconceived ideas within the development team.
- Data quality issues arising from poor data science and inadequate data exploration.
- A failure to focus on developing end-to-end AI solutions that can actually be deployed in production.
One of Sonasoft’s key focuses over the past 12 months has been to address these issues head on. This initiative is being led by
Data-driven discovery. AI projects are only ever as good as the raw data they are built with.
Data is king. Many AI projects fail because of mistakes made during data exploration and feature engineering. All too often, people skip this vital step and go straight to developing new neural networks or other AI models. But this is a sure-fire recipe for failure. Other times, companies over-engineer the data, allowing significant bias to creep in thanks to the team’s pre-conceptions about the expected outcome. By contrast,
AI is an end-to-end problem. Possibly the biggest problem for companies developing AI solutions is their failure to work out how the results will be deployed. All too often, the team developing the AI solution focuses on creating a perfect model at the expense of making it deployable. However good the AI model, it is worthless if it cannot be deployed in production.
Looking ahead to 2022
2022 is set to be the year when AI debt really starts to hit companies. This growing problem sees many companies losing out to competitors who are able to steal more and more of the market thanks to AI. But when companies try to solve this problem naively, they can end up wasting money on AI solutions that don’t deliver and actually worsen the AI debt problem. But with SAIBRE,
Notes
Sonasoft was founded inSilicon Valley in 2003. For more information about the company, please visit: https://www.sonasoft.com- Sonasoft SAIBRE is an end-to-end AI platform that can generate, monitor, and maintain AI bots. For more details, see https://sonasoft.com/products/saibre/
- For investor-specific information, please visit: https://www.sonasoft.com/investors/
Investor Contact:
Phone: (408) 708-4000 X7104
Forward-looking Statements
This release contains statements that constitute forward-looking statements. These statements appear in a number of places in this release and include all statements that are not statements of historical fact regarding the intent, belief or current expectations of the Company, its directors or its officers with respect to, among other things: (i) the Company’s financing plans; (ii) trends affecting the Company’s financial condition or results of operations; (iii) the Company’s growth strategy and operating strategy; and (iv) the declaration and payment of dividends. The words “may,” “would,” “will,” “expect,” “estimate,” “anticipate,” “believe,” “intend,” and similar expressions and variations thereof are intended to identify forward-looking statements. Investors are cautioned that any such forward-looking statements are not guarantees of future performance and involve risks and uncertainties, many of which are beyond the Company’s ability to control and that actual results may differ materially from those projected in the forward-looking statements as a result of various factors.
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