Industry executives and experts share their predictions for 2024. Read them in this 16th annual VMblog.com series exclusive.
How AI Will Transform and Impact Businesses
By Ed Macosky, Chief
Product and Technology Officer, Boomi
In today's rapidly
evolving digital landscape and hyper-competitive business environment, leaders
must move beyond the conventional perception of AI as a mere tool and
capitalize on the technology's full potential to reshape organizational
dynamics.
In the coming year, AI
will emerge first and foremost as a set of collaborative tools, revolutionizing
the way organizations operate. As AI becomes more prominent in businesses, data
quality will become a higher business-level priority and leaders will need to
invest in data management strategies and solutions that prioritize accuracy and
consistency. As these changes take place and businesses continue to grapple
with a shortage of skilled IT talent, leaders will need to prioritize the
democratization of technology in order to thrive during an IT skill drought.
With all this in mind, one could say that AI's redefined role is not simply a
technological but more so, a cultural shift. As we leap to 2024, these AI
trends will make significant transformations in businesses.
Artificial intelligence will bring teams closer together as leaders
across every industry begin to embrace the technology.
Within the next year, AI
will become the primary driver of the development life cycle - not just as an
IT assistant, but as a set of collaborative tools. Developer and engineering
teams have had their work largely restricted to the backend, but I anticipate
IT leaders to become key advisors as AI becomes more ingrained in a business'
overarching goals. Both technical and non-technical staff will need to align on
their AI strategy in tandem as organizations seek to utilize AI for writing
code, prototyping, testing, and quality assurance to drastically reduce the
time needed to develop new projects. This will enable technical staff to
innovate more frequently, and non-technical staff can have a stake in building
solutions, rather than just providing requirements.
AI technologies won't be as
valuable or trustworthy without data accuracy and quality.
One of the most pressing
concerns in the age of AI is data quality. Data quality has always been a key
ingredient for success - for example, being able to parse through overwhelming
amounts of customer information to provide them with personalized experiences.
However, AI has elevated the stakes when it comes to data. As organizations
rely on AI more and more to supplement their developer initiatives, investing
in data management is no longer just an IT concern, but a business concern.
This makes having quality data more important than ever to ensure the AI-based
outcomes are accurate. Without quality data, AI can quickly become a massive
pain point, rather than an efficient solution. By ensuring data accuracy from
the beginning, AI can drastically improve productivity and efficiency across
every level of your organization.
Democratization of technology will be driven by AI automation.
Democratizing technology
is becoming a top priority for many, thanks to high demand and limited supply
for IT talent. Being able to reskill non-technical staff quickly and
effectively will be integral to overall resiliency within an organization. With
too much overhead on both infrastructure maintenance and technical training,
businesses can quickly find themselves unable to adapt fast enough in tough
macroeconomic climates. AI will enable the drastic reduction of resources
needed for maintenance, as well as reduce the amount of expertise required to
have a strong understanding of their tech stack.
To outpace the competition
in today's dynamic business environment, leaders must be constantly searching
for the next game-changing innovation. With AI, it's already here. Leaders must
embrace its transformative potential beyond the technical aspects, recognize
the newfound importance of data quality and make investments accordingly, and
leverage the increasing democratization of technology to empower team members
in all roles of the business. Doing so will enable them to propel their
business forward and help ensure resilience in fast-changing times.
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ABOUT THE AUTHOR
Ed Macosky is the Chief Product and Technology Officer
at Boomi (CPTO). He has more than 20 years of experience building high
performing agile teams, designing and launching new software and service
products, solution delivery and customer retention. Ed works to establish and
execute Boomi's product vision and roadmap - delivering an intelligent,
flexible and scalable integration platform that accelerates business outcomes
by making information, interactions and innovations flow faster.
Prior to joining Boomi in early 2019, Ed spent almost five years at Oracle, where
he served as Vice President of Middleware/PaaS DevOps & Release
Engineering. Prior to Oracle, he spent some time at Dell. In addition, starting
in 2003, Ed spent more than seven years at Boomi during the formative years of
the company.
Named one of the Top 25 Software Product Executives of 2022, Ed studied
Information Technology at Penn State and holds two U.S. patents for integrating
software systems.