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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. Adopting Operational AI Organizations looking to adopt Operational AI must consider three core implementation pillars: people, process, and technology.

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Four investors explain why AI ethics can’t be an afterthought

TechCrunch

It’s reasonable to ask what role ethics plays in the building of this technology and, perhaps more importantly, where investors fit in as they rush to fund it. So some onus lies on investors to make sure these new technologies are being built by founders with ethics in mind.

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Venture capital undermines human rights

TechCrunch

The future of technology is determined by a handful of venture capitalists. The world’s 10 leading venture capital firms have, together, invested over $150 billion in technology startups. Europe and China, which in turn are shaping the future of technology. Despite gains, gender diversity in VC funding struggled in 2020.

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‘Knowledge-as-a-service’ platform Lynk announces collaboration with UBS

TechCrunch

Lynk’s technology uses machine learning algorithms to match clients with experts in its database. The platform also has collaboration tools, so teams can automatically transcribe question-and-answer sessions, search transcripts and share notes.

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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning - AI

This is where the integration of cutting-edge technologies, such as audio-to-text translation and large language models (LLMs), holds the potential to revolutionize the way patients receive, process, and act on vital medical information. These audio recordings are then converted into text using ASR and audio-to-text translation technologies.

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Weights & Biases raises $135M Series C to keep building MLOps software

TechCrunch

ML, or machine learning, is a big market today. Evidence of the former can be found in the growth posted by Databricks in recent quarters, and the latter by just how much cash Big Tech companies are willing to drop on ML-focused roles. What do you call AI these days? ML in a suit. Image Credits: Weights & Biases.

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Bud Financial helps banks and their customers make more informed decisions using AI with DataStax and Google Cloud

CIO

Organizations must ensure their technology stack can handle immense data flow. Foster a data-driven culture Bud’s commitment to a data-driven culture is an important lesson for organizations to encourage their teams to embrace data as a valuable resource for improving efficiency and effectiveness.