Year in Review and Looking to 2022

SAN JOSE, CA, Jan. 13, 2022 (GLOBE NEWSWIRE) — by way of NewMediaWire – Sonasoft Corp. (OTCQB: SSFT), creators of the revolutionary Sonasoft AI Bot Runtime Engine, SAIBRE, closed out 2021 in a powerful place. Highlights embrace great progress in growing SAIBRE, a brand new strategic partnership, and a renewed deal with end-to-end AI initiatives. Taken collectively, this ensures that firms who have interaction Sonasoft will obtain a profitable AI transformation, from information exploration and information science, by means of to supply of a productionized AI answer. Sonasoft finds itself in an ideal place for 2022, prepared to ship new OEM partnerships that may assist different firms overcome the difficult circumstances created by COVID.SAIBRE Platform2021 noticed the announcement of SAIBRE, Sonasoft’s newly developed AI engine. SAIBRE cements Sonasoft’s place as a pioneer in AI platform know-how, delivering fast, enterprise-grade manufacturing AI bots centered on giant, world OEM companions. This new AI engine has been developed from the bottom up and focuses on fast iterations and experimentation, enabling quicker growth and deployment of AI bots. This is backed up with a zero-effort AI strategy that simplifies the scaling, monitoring and upkeep of those bots in manufacturing. “SAIBRE is ideal for groups that don’t need to make investments in constructing million greenback information science groups however nonetheless need to leverage AI transformation,” mentioned Mike Khanna, Sonasoft’s CEO. “These groups can outsource their AI initiatives, letting Sonasoft deal with the end-to-end creation of their AI bots from ideation to manufacturing and past. This ensures they’ll get rid of their AI debt utterly.”One of the important thing goals with SAIBRE has been to develop a UI that’s clear, environment friendly, and versatile. SAIBRE encourages collaboration inside and between groups to discover the absolute best AI answer for a given dataset. Datasets may be constructed by combining information from a number of sources. Every dataset can then be leveraged for various use instances and a number of approaches to fixing these use instances. AI bots are constructed in an inherently logical vogue, bolting collectively completely different items to create a full workflow. Once you’re proud of the outcomes, deploying the bot simply takes a few clicks. At the identical time, the SAIBRE UI permits extra technical customers to seize their insights into easy constructing blocks that may be leveraged by all customers. As SAIBRE continues to develop, there will likely be a powerful deal with simplicity, workforce collaboration, and even gamification.Story continuesNew PartnershipIn the autumn of 2021, Sonasoft elevated their roster of strategic companions by signing a brand new OEM partnership with Information Visibility Technology (IVT), a pioneer in healthcare IT options. IVT will leverage SAIBRE to uncover key enterprise insights and intelligence. IVT and Sonasoft will initially collaborate on deploying two AI bots designed to deal with the inflexibility and old style strategy to enterprise usually discovered in the healthcare market. The first of those is a listing administration bot for provide and demand forecasting. This is one thing taken as a right in many industries, however healthcare is lagging far behind. The second is a dynamic pricing bot, permitting a transfer away from old style contract pricing, which dominates at this time’s healthcare business.Avoiding Common AI PitfallsIn 2019, VentureBeatAI reported that 87% of AI initiatives by no means make it to manufacturing (https://venturebeat.com/2019/07/19/why-do-87-of-data-science-projects-never-make-it-into-production/). There are quite a few causes, together with:The introduction of bias due to preconceived concepts inside the growth workforce.Data high quality points arising from poor information science and insufficient information exploration.A failure to deal with growing end-to-end AI options that may truly be deployed in manufacturing.One of Sonasoft’s key focuses over the previous 12 months has been to deal with these points head on. This initiative is being led by Caroline Zaborowski, promoted to Chief Data Officer in 2021. Key components embrace:Data-driven discovery. AI initiatives are solely ever pretty much as good because the uncooked information they’re constructed with. Sonasoft takes a rigorous strategy to data-driven discovery in any new AI challenge. The consumer is requested for his or her high-level enterprise intelligence and theories. But Sonasoft’s information science workforce validates that the info helps their suppositions. Allowing the info to be the ultimate arbiter mitigates towards any potential bias that is perhaps injected into AI exploration. Caroline sums this up greatest, “The success of an AI initiative is in no means contingent on earlier expertise in the identical business and even use case. Success requires a workforce with the power to use restricted area understanding to conduct an goal, unbiased exploration.”Data is king. Many AI initiatives fail due to errors made throughout information exploration and characteristic engineering. All too usually, individuals skip this important step and go straight to growing new neural networks or different AI fashions. But it is a sure-fire recipe for failure. Other instances, firms over-engineer the info, permitting important bias to creep in thanks to the workforce’s pre-conceptions in regards to the anticipated final result. By distinction, Sonasoft takes an iterative and consultative strategy. This ensures the standard of the info and ensures that the ensuing AI bot is unbiased and sturdy.AI is an end-to-end drawback. Possibly the most important drawback for firms growing AI options is their failure to work out how the outcomes will likely be deployed. All too usually, the workforce growing the AI answer focuses on creating an ideal mannequin on the expense of constructing it deployable. However good the AI mannequin, it’s nugatory if it can’t be deployed in manufacturing. Sonasoft has a extra pragmatic strategy. As Caroline says, “At Sonsoft, we spend time understanding what the enterprise necessities are, speaking what choices can be found given the requirement and then use the suggestions from the consumer to make the suitable selections. This features a frank open dialogue about danger. Risk mitigation usually comes at the price of some stage of success which is way extra palatable.”Looking forward to 20222022 is ready to be the 12 months when AI debt actually begins to hit firms. This rising drawback sees many firms shedding out to rivals who’re ready to steal extra and extra of the market thanks to AI. But when firms attempt to resolve this drawback naively, they’ll find yourself losing cash on AI options that don’t ship and truly worsen the AI debt drawback. But with SAIBRE, Sonasoft has ushered in the period of zero-effort AI. That means zero-effort information science, thanks to our main workforce of consultants. Zero-effort deployments on Sonasoft’s infrastructure, so there isn’t any affect on engineering groups. And zero-effort upkeep, thanks to superior monitoring, customizable dashboards, and one-click retraining. “I proceed to be excited in regards to the prospects created by our SAIBRE platform,” says Max Lee, Sonasoft’s VP of Engineering. “We are always striving to simplify the creation of AI pipelines and information evaluation, each for ourselves and for others as SAIBRE expands into the long run.” Ultimately, Sonasoft’s purpose is to enable firms of any measurement to get rid of their AI debt and reap the advantages of profitable AI deployments.NotesSonasoft was based in Silicon Valley in 2003. For extra details about the corporate, please go to: https://www.sonasoft.comSonasoft SAIBRE is an end-to-end AI platform that may generate, monitor, and preserve AI bots. For extra particulars, see https://sonasoft.com/products/saibre/For investor-specific data, please go to: https://www.sonasoft.com/investors/Investor Contact:Mike Khanna, CEO Sonasoft Corporation Phone: (408) 708-4000 X7104Forward-looking StatementsThis launch incorporates statements that represent forward-looking statements. These statements seem in numerous locations in this launch and embrace all statements that aren’t statements of historic truth relating to the intent, perception or present expectations of the Company, its administrators or its officers with respect to, amongst different issues: (i) the Company’s financing plans; (ii) traits affecting the Company’s monetary situation or outcomes of operations; (iii) the Company’s progress technique and working technique; and (iv) the declaration and cost of dividends. The phrases “might,” “would,” “will,” “anticipate,” “estimate,” “anticipate,” “imagine,” “intend,” and related expressions and variations thereof are supposed to determine forward-looking statements. Investors are cautioned that any such forward-looking statements are usually not ensures of future efficiency and contain dangers and uncertainties, a lot of that are past the Company’s capacity to management and that precise outcomes might differ materially from these projected in the forward-looking statements because of numerous components.

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