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AI initiatives that cannot find ROI have no use in modern business. However, the path to ROI from enterprise-wide digital transformations is never a straight and narrow road. A pre-pandemic survey from MIT Sloan Management Review and Boston Consulting Group found that 70% of companies among those surveyed reported no value from their AI investments. 

While accounting as a discipline has roots going back to the 13th century, current-day accounting software is still based on manual record-keeping just as it was in the 1990s, only with digital checks in a digital checkbook register, allowing users to keep track of their finances on a computer.

HSBC Bank is a British multinational banking and financial services company. The bank has 130 branches and serves over 40 million customers. By total assets, HSBC is one of the ten largest banks globally.

In today's rapidly evolving world, pursuing AI excellence has become a top priority for organizations across industries. However, the path to building exceptional AI teams is not solely paved with technical expertise and cutting-edge algorithms. The true key to unlocking the full potential of AI lies in ensuring that the teams leading the charge in enterprise digital transformations are working cohesively.

This article is sponsored by Riskified, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.
The advent of the COVID-19 pandemic is leaving retail and eCommerce enterprises awash in numerous, often chaotic trends, many of which are proving critical for driving AI adoption throughout the industry. Perhaps most prominent among these market dynamics is an enormous shift to online retail.

Accurately projecting and communicating shipment details in freight and logistics is paramount for successful, safe delivery across the vast supply chain. 

In the era of big data, companies need help navigating through an overwhelming volume of unstructured data to uncover meaningful insights. The topic search process presents unique challenges in deciphering data signals and identifying critical information before problems escalate.

As AI becomes increasingly interwoven in the fabric of our everyday lives, the insurance sector is finding new business challenges and opportunities in all of the ways these emerging technologies bring increased risk - and security - to our lives.

AI adoption poses several challenges for organizations, including the need for specialized skills and expertise, integration with legacy systems, data quality and accessibility, and the ethical implications of AI.

The COVID-19 pandemic fundamentally changed how consumers shop, driving more consumers than ever to transact online with traditionally brick-and-mortar retailers. While these economic forces have affected all retail, perhaps none was more profoundly disrupted than the grocery sector.