Page 16 - Issue 1 2023
P. 16

COMMENT



        networks. We expect even broader       That means, we also need more infrastructure optimized for these highly
        adoption of virtualization, software   demanding workloads. Advanced servers and storage to power AI are doing that work
        defined architectures, open systems   for customers today, but in 2023, there will be an even broader range of acceleration
        and open interfaces with early                               chips entering the market and a correlating increase in
        adoption of concepts like Open RAN.                                performance and efficiency.
        While Dell is directly working in                                        We also need to make it simpler to
        telecom to make this happen,                                              share data between clouds so that
        indirectly every enterprise’s                                               training and inferencing activity
        digital transformation                                                        can be distributed. In fact, it is
        should benefit from                                                            estimated that by 2025, 88%
        increased openness and                                                          of servers for AI workloads
        faster innovation in our                                                        deployed at the edge will be
        communication systems.                                                           used for inferencing and the
           In 2023, we                                                                   distribution of not just data,
        expect accelerating                                                              but also the AI/ML processing
        innovation to focus                                                              of that data is already
        on making the entire                                                            underway.
        technology ecosystem                                                              Organizations that ride the
        work as a platform for                                                        second wave of AI will see a
        your digital transformation.                                                 distinct competitive advantage as
        We also expect organizations                                               AI becomes able to better perceive,
        to lean into technology that gives                                      learn and reason – and give developers
        them flexibility and open access to                                  and data scientists more freedom to deliver
        innovation, and to partners who                                  applications and outcomes. Organizations can
        can coordinate the sprawl into an                        enhance productivity and efficiency, lower power
        automated working system.            requirements, and accelerate multicloud and edge strategies. As the industry matures,
           And there’s good reason – no      AI will also become more democratized as open-source AI becomes prevalent and
        single solution, platform or provider   accessible to larger communities.
        will deliver on the full promise of
        technology. That means that the      Momentum will accelerate for Zero Trust architectures
        proverbial “walled gardens” of       The digital transformation of the global economy is significantly increasing the number
        “closed” ecosystems will crumble.    of potential attack surfaces. The lack of a true perimeter puts organizations at greater
                                             risk to their data, their supply chain and anywhere along that continuum. Today,
        AI will reach an inflection          ransomware attacks are the #1 threat for most organizations, occurring every 11
        point                                seconds and costing $13 million per occurrence.
        We’ve been talking about the promise   With so many of our customers globally transforming their security strategies, many
        of AI for years. 2023 is a year that   are looking at Zero Trust architectures to better secure their environments. The three
        we expect acceleration of real-world   main tenets of Zero Trust aren’t that challenging: universal continuous authentication
        use of AI and machine learning. We   of everything; robust authoritative policy driven behaviour; and deeply integrated
        have the tools and software systems.   threat management.
        We have accumulated significant        The real challenge is the current state of the industry, and technology makes the
        data sets. We also have invested in   design and integration of Zero Trust too complex for most customers. Our job is to ease
        training across almost every industry   that burden and simplify the process. This includes assessing an organization’s current
        so our teams can graduate from       state and delivering actionable insights to mature their cybersecurity programs and
        experimentation to real world AI     align to Zero Trust. Through the continued development of roadmaps, best practices
        projects.                            and standardization, we can make adoption much quicker and easier. Ultimately, Zero
           At Dell, we have been on this     Trust will become the foundation for a new level of data security and trust in a highly
        journey and today have around 1000   distributed multi-cloud world where everything is connected.
        projects, products, or efforts focused
        on using AI to advance our business.   This shortlist is at the top of my mind for the next year, but if there’s one thing 2022
        We are seeing our customers following   taught us, it’s how hard it is to predict the future. No doubt, 2023 will be full of
        a similar path, and in 2023, we’ll begin   unknowns and surprises. But as a tech optimist, I am confident that innovation will
        to see more real impacts of AI/ML.   drive amazing progress. And I’m excited for what lies ahead.


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