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As organizations prepare to face the coming years, operating in a context of constant change will continue to be a challenge for business leaders globally. But no matter what the future holds, data-driven decision making will remain the lifeblood of tomorrow's business. You will have a profound impact on decisions by providing the insights needed to deliver innovations that fuel growth and unique customer experiences.
AI is already transcending its hype status to become a business value driver, and organizations of all sizes are adopting it, especially generative AI, to stay ahead of today's fast-paced world. But this AI movement is also a boost to the major technological changes ahead: rapid transformations that will shape the way businesses of the future operate and perform.
That's why business leaders are turning to CIOs and IT leaders for insights and to determine business readiness strategies to ensure their organizations can take advantage of the current and future capabilities of AI.
Why data increasingly means business value
With global data creation projected To grow to over 180 zettabytes by 2025, there is enormous value potential in becoming a data-driven business. But doing so requires a technology stack designed for the intelligence era.
While today's organizations have a strong appetite for AI and automation, the reality is that large volumes of data and numerous data pipelines lie at the heart of these technologies. CIOs and IT leaders are already evaluating the technologies needed to transform business approaches to data-driven decision making, and in a future where generative AI will be deeply integrated into all facets of the business, this has become become fundamental.
The role of technology in shaping the company of the future is undeniable. The exponential growth of data within each company and the ever-changing business landscape suggest that AI-driven automation will continue to be a key feature of businesses of the future. Alterix investigation reveals that 60 percent of business leaders say investment in technology will have a transformative impact on future productivity, and 61 percent say investments in advanced technology will increase as they respond to the changing market environment. The challenge is to convert these increased volumes and varieties of data into business opportunities, preparing for this increasingly complex and data-driven future.
Forward-thinking IT leaders already see a direct correlation between modernizing the data management process across the technology stack and making it easier to extract value from data at the speed and scale necessary for real-time intelligence. The same Alteryx research suggests that digital transformation related to AI and machine learning will be the number one feature of the enterprise of the future, and technology priorities are already shifting to reflect this. Generative AI, quantum computing, and machine learning operations (MLOps) are cited as the technologies most likely to see the biggest shift in accelerated adoption in the future.
Delivering next-generation AI-ready business transformation
While it seems like a short time since the pandemic forced many organizations to accelerate transformation at breakneck speeds, the rise of AI-related technologies will reinfuse these transformations. Because? Because AI has lowered the barrier to achieving productivity gains by delivering data-driven insights with just a sentence or prompt. With countless data-driven AI technologies and intelligent systems already available, the ultimate goal of this transformation is to modernize the data management process across the entire stack.
To achieve this, technology leaders, more than ever, must be change agents capable of prioritizing both IT technical needs and business needs, while ensuring that none of the connected systems and technologies disrupt the value chain or create friction.
No single technology can help companies understand customer needs, drive efficiency, and find the competitive advantage their organizations need. For any technology to accelerate the flow of data in the future technology stack, it must:
1. Avoid overly complex architectures and tools that require specific skills. Only by training the entire workforce to make the most of technologies to harness and calculate data, and establish available automation resources, will the full potential of the technology stack of the future be unlocked and ensure that it generates ROI by driving business value across the organization. .
2. Learn how to identify interesting and brilliant trends that may look good but don't work and avoid purchasing a suite of tools that are not designed for business users. If you disrupt the value chain and create friction because one part of the technology stack is broken or a capability is missing in the value chain, then you cause friction for everything else, which costs money, time and potential innovation.
3. Invest in platforms that support multiple personas, unlimited use cases, and feature expansion – all of this is key to reducing costs, driving return on investment (ROI) and preparing investments for the future.
4. Look for AI-ready platforms that future-proof data quality, security and governance mechanisms that IT needs. Provide an accessible AI and NLP interface to enable everyone to initiate data quality checks that identify potential anomalies, easily transform and standardize data based on data quality rules, and confidently deliver the insights the business needs to make informed decisions. quick and sure decisions, sometimes in a fraction of a second. .
At Alteryx, we continue to infuse AI innovation into the Alteryx Analytics Cloud platform through Help in, to support multiple personas, unlimited use cases, and future feature expansions. Our innovative and powerful multimodal approach to AI-powered analytics empowers everyone to leverage the tool of their choice to develop real-time, collaborative analytics insights, from chat messages to no-code workflows to code-enabled Python and SQL notebooks. All of this can be translated live through generative AI into a single analytics solution that enables enterprise-wide data outcomes at scale.
Read more about how Alteryx Analytics Cloud Platform provides the data orchestration layer for 49 percent of Global 2000 companies, ensuring companies have the analytics, IT governance and security needed to adapt to growing demands for data, automation and generative AI.
Trevor Schulze, CIO, Alteryx
(Alterix)
As Alteryx's CIO, Schulze leads the global IT team to deliver a comprehensive portfolio of business-oriented technology solutions and services. He works to inspire global teams to imagine and execute creative solutions to difficult business problems and successfully capitalize on new market opportunities. His goal is to transform businesses through innovative operational and technological initiatives and bring award-winning products to market.
Prior to joining Alteryx, Schulze served as RingCentral's chief information officer, leading a multinational team responsible for setting the company's IT strategic direction and reimagining its business processes to support business goals for growth and profitability.
