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6 Myths and Facts About AI Implementation For SMBs

Amzur

While AI conjures images of sophisticated algorithms and Big Tech budgets, the truth is that small and mid-sized businesses stand to gain the most from targeted AI adoption. In this article, we cut through the hype and misconceptions to highlight six realities about implementing AI in growing organizations.

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The ESG Data Challenge: Part 1

Infosys Consulting

The key highlights of this article include: ESG related challenges faced by FIs How FIs can approach ESG data sourcing by leveraging the latest technologies such as cloud, AI/ML among others to transform the acquired data Challenges The convergence towards harmonized taxonomies and standardized disclosures is inevitable[5].

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Nintex’s Kryon Acquisition: Fast But Steady Wins The Race?

Zinnov

Praveen Bhadada, Managing Director, Zinnov; Nischay Mittal, Principal and Global Head – Automation/AI, Zinnov. They have been at the top of their game over the last 5-7 years with a hybrid approach of organic and inorganic strategies to bolster their Automation narrative.

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Cybersecurity: A Linchpin Of The Modern Digital Enterprise

Zinnov

This has also elevated the use of emerging technologies such as AI/ML, Predictive Defense, and Hybrid Cloud deployments. IAM is the realm of IT Ops whereas next-generation SIEMs continue to focus on security. This has raised the capabilities for Cybersecurity product companies.

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Hyper Intelligent Automation: The Strategic Gamechanger For Enterprises

Zinnov

by Nischay Mittal, Principal & Global Head — Automation/AI, Zinnov; Dushan Garg, Engagement Manager, Zinnov; Shreya Ghose, Marketing, Zinnov. But amidst this strategic race, while many are on track with their transformation strategy, many still have their doubts about what this paradigm is all about. Low Code/No Code.