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Dm STRATEGY: GENAI
Three steps to GenAI heaven
Stewart Hunwick, Field CTO, Primary Storage, Dell Technologies UK, argues that the right
data storage approach is critical to achieve GenAI success
There is no doubt that Generative
AI (GenAI) was one of the hottest
topics of 2023, and the
conversation continues today. But it is
not just talk; people are already seeing
tangible benefits from the technology.
McKinsey estimates that GenAI could
add between $2.6-$4.4 trillion to the
global economy annually. In fact,
according to Dell's latest Generative AI
Pulse survey amongst IT decisionmakers
(https://www.dell.com/enus/dt/solutions/artificialintelligence/index.htm),
75% of UK
respondents think the impact of GenAI
will be significant or transformative for
their organisations. So, it is no surprise
that UK businesses are eager to
uncover and leverage its benefits.
Yet, developing and training GenAI
models is not a straightforward
process. Organisations need vast
amounts of data to feed models, and in
turn, these same models generate a
plethora of data back into the
business. Therefore, business leaders
must ask themselves a simple but
essential question before embracing AI
and GenAI - are our storage solutions
up to the task?
In 2024 and beyond, it is a scalable,
secure, and economically sound data
architecture that will set apart the
organisations leading the AI race from
those playing catch up.
THE GENAI AGE NEEDS THE RIGHT
STORAGE SOLUTIONS
Organisations must rethink, rearchitect,
and optimise their storage to effectively
handle GenAI's hefty data management
requirements and ultimately deploy
GenAI successfully. By doing so,
organisations will avoid a potential
process slowdown due to inadequate
or improperly designed storage.
Unfortunately, traditional storage
systems are already struggling to keep
up with the ever-growing data load.
The requirements will only increase
with GenAI systems processing and
managing new and more sophisticated
tasks. Therefore, an organisation must
align their storage platforms with the
more complex realities of unstructured
data, also known as qualitative data
and the emerging needs of GenAI.
Unstructured data accounts for more
than 90% of the data created each
year, so businesses require innovative
ways to store data of this scale and
complexity cost-effectively while
offering easy and quick access to it.
Above all, companies should ensure
they safeguard this precious data
against cyber criminals - unstructured
data attracts hackers because of its
high value and sheer volume.
The truth is that organisations want
and expect better data movement,
access, scalability, and protection. As a
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