Remove B2B Remove Modeling Remove Risk Management
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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels. AI models analyze vast amounts of data quickly and accurately.

B2B 64
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Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. The company says it has partnered with more than 250 B2B customers.

B2B 105
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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 5: COVID-19 and Changing Business Landscape in Australia

bridgei2i

But because of COVID-19, digital transformation is helping B2B models trying to replicate successful B2C models. Let’s see it from B2C and B2B perspective. From the customer reach perspective, the B2Bs are also moving from the traditional workshop, road shows, gathering based promotions to digital promotions.

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CEOs’ top priorities for IT leaders today

CIO Business Intelligence

That work also ties into another CEO priority: growth as the company competes in both the B2B and B2C space. Those things can’t just take a back seat now that gen AI is in play,” says Danielle Phaneuf, cloud and digital strategy operational model leader at professional services firm PwC. Such expectations fit squarely with the No.

IT 131
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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 12: How AI is rapidly transforming the enterprise landscape in the post-COVID world

bridgei2i

The way an AI system will operate in terms of engaging our employment sector is first of all, we need people who can build the models, who would be the mathematicians, computer scientists, engineers. So, then we need systems, analysts, database administrators, people who can set in place, these types of backup systems for risk management.

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Data Analytics for Crypto Casinos: Significance and Challenges

BizAcuity

A majority of online casinos have also started accepting various cryptocurrencies as payments and many B2B gaming providers have been heavily investing in crypto gaming to meet with the rising demand. Hence, a lot of time and effort should be invested into research and development, hedging and risk management.

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How guardrails allow enterprises to deploy safe, effective AI

CIO Business Intelligence

The only significant increase in risk mitigation was in accuracy, where 38% of respondents said they were working on reducing risk of hallucinations, up from 32% last year. However, organizations that followed risk management best practices saw the highest returns from their investments.