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Technical Review: A Trusted Look Under the Hood

TechEmpower CTO

Many CEOs of software-enabled businesses call us with a similar concern: Are we getting the right results from our software team? We hear them explain that their current software development is expensive, deliveries are rarely on time, and random bugs appear. These are classic inflection points for a development team.

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The key to operational AI: Modern data architecture

CIO

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. This team serves as the primary point of contact when issues arise with models—the go-to experts when something isn’t working.

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6 investors discuss why AI is more than just a buzzword in biotech

TechCrunch

“Most of the companies we have seen have an AI component to support the discovery or development processes,” Francisco Dopazo, a general partner at Humboldt Fund told TechCrunch recently. Y Combinator has been a net positive force in driving innovative experimentation at the early stages of company development.

Biotech 242
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Startup Speed Is Sine Qua Non For Startup Success. Here’s How To Achieve It.

Crunchbase News

Development pace: Is code typically shipped in days/weeks, or does it take months/quarters? Communication flow: How fast do important developments/results travel throughout the entire organization? Team deterioration: Losing top talent to more dynamic organizations. Market position loss: Being outpaced by faster competitors.

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Accord, which offers a platform to manage sales processes, secures $10M

TechCrunch

CEO Ross Rich says that the new funds, which bring Accord’s total raised to $17 million, will be put toward the startup’s engineering, sales and marketing teams. Compounded with that fact, there is no system to reinforce a consistent, repeatable sales process, even if you have the ideal sales journey all figured out.”

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DTN’s CTO on combining IT systems after a merger

CIO

Its weather-related services can be as simple as helping utilities predict short-term demand for energy, or as complex as advising maritime transporters on routing ocean-going cargo ships around developing storms. Very little innovation was happening because most of the energy was going towards having those five systems run in parallel.”.

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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning - AI

Audio-to-text translation The recorded audio is processed through an advanced speech recognition (ASR) system, which converts the audio into text transcripts. Data integration and reporting The extracted insights and recommendations are integrated into the relevant clinical trial management systems, EHRs, and reporting mechanisms.