Data through a prism: the key to AI-powered analytics to glean insights from data
Join senior executives in San Francisco on July 11-12 to learn how leaders are integrating and optimizing AI investments for success. Find out more
Mankind has been making tools for millions of years. Human society has not only evolved for centuries alongside these tools, it has evolved thanks to them. In our digital age, the latest tool for transformation is AI: the wheel that can learn to reinvent itself, pushing the boundaries of what a tool can do or be.
With its vast potential across industries and sectors, global AI spending is expected to double between 2020 and 2024, from $50 billion to over $110 billion.
The financial industry is no exception: AI applications are accelerating the areas of asset management, tax analysis reporting, credit underwriting and more. The ability to strategically leverage AI has proven to be a major asset for finance teams to improve efficiency and productivity by streamlining processes and reducing errors.
And yet, some finance teams still have a limited vision of what AI can do. Many industry professionals, especially those who have been in the industry since before AI hit the air of time, see it as just another effective tool for simply “crunching numbers”. While AI can do this in a big way, it's only part of the big picture: the real value of AI lies in the deep analysis of the data and the people behind it. .
EventTransform 2023
Join us in San Francisco on July 11-12, where senior executives will discuss how they've integrated and optimized AI investments for success and avoided common pitfalls.
Register now Don't miss the big pictureData has the power to reveal subtle insights and elucidate trends that can be hugely beneficial to business operations.
The traditional approach to enterprise data was goal-driven, such as identifying customer churn or tracking siled KPIs. However, when companies analyze data with a single metric in mind, they limit the scope and subsequent value of insights the data can offer.
If a company is looking for specific answers (for example, how much employees spend on coffee in December), they will only find the informed answers in the dataset, and nothing more. This narrow approach to data analysis can only ever offer answers, as opposed to general information, not because there is no big picture in the data, but because analysts do not don't know what answers to look for.
It's like looking at the summit of Everest at night with only a spotlight. Even if you can spot the peak, its true vertical magnitude and the majestic beauty of the Himalayan surroundings will be totally lost on you.
Making data shine for better AIIncreasingly enabled by AI, a new approach encourages data to speak for itself, unleashing a whole new spectrum...
Join senior executives in San Francisco on July 11-12 to learn how leaders are integrating and optimizing AI investments for success. Find out more
Mankind has been making tools for millions of years. Human society has not only evolved for centuries alongside these tools, it has evolved thanks to them. In our digital age, the latest tool for transformation is AI: the wheel that can learn to reinvent itself, pushing the boundaries of what a tool can do or be.
With its vast potential across industries and sectors, global AI spending is expected to double between 2020 and 2024, from $50 billion to over $110 billion.
The financial industry is no exception: AI applications are accelerating the areas of asset management, tax analysis reporting, credit underwriting and more. The ability to strategically leverage AI has proven to be a major asset for finance teams to improve efficiency and productivity by streamlining processes and reducing errors.
And yet, some finance teams still have a limited vision of what AI can do. Many industry professionals, especially those who have been in the industry since before AI hit the air of time, see it as just another effective tool for simply “crunching numbers”. While AI can do this in a big way, it's only part of the big picture: the real value of AI lies in the deep analysis of the data and the people behind it. .
EventTransform 2023
Join us in San Francisco on July 11-12, where senior executives will discuss how they've integrated and optimized AI investments for success and avoided common pitfalls.
Register now Don't miss the big pictureData has the power to reveal subtle insights and elucidate trends that can be hugely beneficial to business operations.
The traditional approach to enterprise data was goal-driven, such as identifying customer churn or tracking siled KPIs. However, when companies analyze data with a single metric in mind, they limit the scope and subsequent value of insights the data can offer.
If a company is looking for specific answers (for example, how much employees spend on coffee in December), they will only find the informed answers in the dataset, and nothing more. This narrow approach to data analysis can only ever offer answers, as opposed to general information, not because there is no big picture in the data, but because analysts do not don't know what answers to look for.
It's like looking at the summit of Everest at night with only a spotlight. Even if you can spot the peak, its true vertical magnitude and the majestic beauty of the Himalayan surroundings will be totally lost on you.
Making data shine for better AIIncreasingly enabled by AI, a new approach encourages data to speak for itself, unleashing a whole new spectrum...
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