Economic potential of AI
Where Business value lies
"Elevate your enterprise with generative AI's precision. Tailored solutions revolutionize internal knowledge management, optimizing functions— Marketing & Sales, Software Engineering, Customer Operations, and Product & R&D—driving 75% of total annual impact. Explore the transformative power now."
In addition to the potential
value
generative AI can deliver in
function-specific use cases, the technology could drive value across an
entire organization by revolutionizing internal knowledge management
systems. Generative AI’s impressive command of natural-language
processing can help employees retrieve stored internal knowledge by
formulating queries in the same way they might ask a human a question
and engage in continuing dialogue. This could empower teams to quickly
access relevant information, enabling them to rapidly make
better-informed decisions and develop effective strategies.
In 2012, the McKinsey Global Institute (MGI) estimated that knowledge
workers spent about a fifth of their time, or one day each work week,
searching for and gathering information. If generative AI could take on
such tasks, increasing the efficiency and effectiveness of the workers
doing them, the benefits would be huge. Such virtual expertise could
rapidly “read” vast libraries of corporate information stored in natural
language and quickly scan source material in dialogue with a human who
helps fine-tune and tailor its research, a more scalable solution than
hiring a team of human experts for the task.
In other cases, generative AI can drive value by working in partnership
with workers, augmenting their work in ways that accelerate their
productivity. Its ability to rapidly digest mountains of data and draw
conclusions from it enables the technology to offer insights and options
that can dramatically enhance knowledge work. This can significantly
speed up the process of developing a product and allow employees to
devote more time to higher-impact tasks.
Read more ....
Read less
In addition to the
potential
value
generative AI can deliver in
function-specific use cases, the technology could drive value across an
entire organization by revolutionizing internal knowledge management
systems. Generative AI’s impressive command of natural-language
processing can help employees retrieve stored internal knowledge by
formulating queries in the same way they might ask a human a question
and engage in continuing dialogue. This could empower teams to quickly
access relevant information, enabling them to rapidly make
better-informed decisions and develop effective strategies.
In 2012, the McKinsey Global Institute (MGI) estimated that knowledge
workers spent about a fifth of their time, or one day each work week,
searching for and gathering information. If generative AI could take on
such tasks, increasing the efficiency and effectiveness of the workers
doing them, the benefits would be huge. Such virtual expertise could
rapidly “read” vast libraries of corporate information stored in natural
language and quickly scan source material in dialogue with a human who
helps fine-tune and tailor its research, a more scalable solution than
hiring a team of human experts for the task.
In other cases, generative AI can drive value by working in partnership
with workers, augmenting their work in ways that accelerate their
productivity. Its ability to rapidly digest mountains of data and draw
conclusions from it enables the technology to offer insights and options
that can dramatically enhance knowledge work. This can significantly
speed up the process of developing a product and allow employees to
devote more time to higher-impact tasks.
Read more ....
Read less
In addition to the
potential
value
generative AI can deliver in
function-specific use cases, the technology could drive value across an
entire organization by revolutionizing internal knowledge management
systems. Generative AI’s impressive command of natural-language
processing can help employees retrieve stored internal knowledge by
formulating queries in the same way they might ask a human a question
and engage in continuing dialogue. This could empower teams to quickly
access relevant information, enabling them to rapidly make
better-informed decisions and develop effective strategies.
In 2012, the McKinsey Global Institute (MGI) estimated that knowledge
workers spent about a fifth of their time, or one day each work week,
searching for and gathering information. If generative AI could take on
such tasks, increasing the efficiency and effectiveness of the workers
doing them, the benefits would be huge. Such virtual expertise could
rapidly “read” vast libraries of corporate information stored in natural
language and quickly scan source material in dialogue with a human who
helps fine-tune and tailor its research, a more scalable solution than
hiring a team of human experts for the task.
In other cases, generative AI can drive value by working in partnership
with workers, augmenting their work in ways that accelerate their
productivity. Its ability to rapidly digest mountains of data and draw
conclusions from it enables the technology to offer insights and options
that can dramatically enhance knowledge work. This can significantly
speed up the process of developing a product and allow employees to
devote more time to higher-impact tasks.
Read more ....
Read less
In addition to the
potential
value
generative AI can deliver in
function-specific use cases, the technology could drive value across an
entire organization by revolutionizing internal knowledge management
systems. Generative AI’s impressive command of natural-language
processing can help employees retrieve stored internal knowledge by
formulating queries in the same way they might ask a human a question
and engage in continuing dialogue. This could empower teams to quickly
access relevant information, enabling them to rapidly make
better-informed decisions and develop effective strategies.
In 2012, the McKinsey Global Institute (MGI) estimated that knowledge
workers spent about a fifth of their time, or one day each work week,
searching for and gathering information. If generative AI could take on
such tasks, increasing the efficiency and effectiveness of the workers
doing them, the benefits would be huge. Such virtual expertise could
rapidly “read” vast libraries of corporate information stored in natural
language and quickly scan source material in dialogue with a human who
helps fine-tune and tailor its research, a more scalable solution than
hiring a team of human experts for the task.
In other cases, generative AI can drive value by working in partnership
with workers, augmenting their work in ways that accelerate their
productivity. Its ability to rapidly digest mountains of data and draw
conclusions from it enables the technology to offer insights and options
that can dramatically enhance knowledge work. This can significantly
speed up the process of developing a product and allow employees to
devote more time to higher-impact tasks.
Read more ....
Read less
