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3 Win/Loss Analysis Templates You Can Use Right Now

Crayon

More than two-thirds of competitive intelligence professionals say their in-house team is responsible for win/loss analysis. That’s a lot of ground to cover between the hours of 9am and 5pm—which is why simple win/loss analysis templates can be tremendously helpful. A template for segmenting lost deal rationale.

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AI & the enterprise: protect your data, protect your enterprise value

CIO

This will require the adoption of new processes and products, many of which will be dependent on well-trained artificial intelligence-based technologies. Data theft leads to financial losses, reputational damage, and more. Human error in data loss Human error remains a critical weak link in d a ta loss.

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4 Must-Ask Questions For Your Win/Loss Interviews

Crayon

Win/loss analysis—the process of determining why deals are won or lost—yields insights that practically everyone across your organization can use to their advantage. Sales reps get insights that they can use to improve their objection-handling tactics. Marketers get insights that they can use to optimize their messaging.

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AI brings complexity to cybersecurity and fraud

CIO

Artificial Intelligence has sharpened both edges of the sword, as organizations are better equipped to defend against cybersecurity conundrums that are finessed to be deadly, wide-ranging and impacting operations and market reputation. We work closely with business leaders, IT, and risk teams to balance innovation with security.

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Why ethical AI should be important to CIOs

CIO

There was a survey done by DataRobot in 2022, and algorithmic bias actually caused a loss in revenue of 62%, and a 61% loss in customers. There was a 43% loss in employees, not to mention the legal fees. There are business implications. People want to know that the things that are being built are being built well.

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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

One way to mitigate the loss of vital information is to have a sound backup system, which will improve the chances of recovering the data. Loss of data can be costly for an enterprise. The most common cause of loss of data is human error. Cost of data loss and the factors that drive its cost.

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Accelerating AI at scale without sacrificing security

CIO

This type of data mismanagement not only results in financial loss but can damage a brand’s reputation. With the rise of AI and data-driven decision-making, new regulations like the EU Artificial Intelligence Act and potential federal AI legislation in the U.S. Data breaches are not the only concern.

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