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How to improve your finance operation’s efficiency with generative AI

IBM Business Partners

While you may have learned about generative artificial intelligence (AI), you may not know what it means for the future of Finance and Accounting (F&A). Companies are challenged with gathering, analyzing and compiling financial information from different sources.

Finance 64
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Revolutionizing the consumer goods industry with integrated business planning

IBM Services

Revolutionizing the FMCG industry with integrated business planning Each business in the fast-moving consumer goods (FMCG) industry has its own unique set of rules, variables, and limitations, and Al Rabie Saudi Foods Co. Al Rabie Saudi Foods Co. Ltd was no exception.

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Critical Factors impacting BNPL Design and Rollout

Infosys Consulting

Co-authored by Ramki Natarajan. In a previous blog post , we discussed how Buy Now Pay Later (BNPL) forces banks to rethink their credit and payment portfolios. This blog will broadly explore what banks need to do to develop a BNPL offer and take it to market. What flexibility do we provide for repayments? Raju Gholley.

Design 52
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Five Strategies to Reduce High Turnover Rates

Velocity Global

Strategy 1: Increase Employee Referral Bonuses Sourcing talent and identifying qualified candidates is a long, painstaking process. Creating an in-house staffing agency allows you to source talent directly , giving you another tool to recruit job seekers within your network. Flexible workspaces. Qualtrics ] 52% of U.S.

Jobbing 52
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Offshoring vs. Outsourcing — Is There An Explicit Winner?

Zinnov

In fact, in the post-pandemic era, this model is highly sought after with the talent wars becoming intense and finance becoming the epicenter of business decisions. Outsourcing helps with sourcing such talent as per the requirement and get the job done hassle-free. Flexibility. Here are the key advantages of outsourcing: 1.

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How to accelerate your data monetization strategy with data products and AI

IBM Services

Data products and data mesh Data products are assembled data from sources that can serve a set of functional needs that can be packaged into a consumable unit. Flexibility in data collection is made possible when product lakehouses connect to and ingest data from many sources, using many different technology protocols.

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What kind of innovation organisation are you?

Hyland

Through these, a system of partner co-design initiatives (potentially co-financed too, which often helps solidify collaboration relationships) can be coordinated to take a distributed funnel of ideas and organise their progression through pilots and into production services, etc. That “flexible” part is important though.