Alteryx is a Business Reporter client.
As organizations prepare to move forward over the next few years, operating against a backdrop of constant change will continue to challenge business leaders globally. But no matter what the future holds, data-driven decision making will remain the lifeblood of tomorrow's businesses. It will profoundly influence decisions, by providing the insights required to deliver innovations that drive unique customer experiences and growth.
AI has truly transcended the hype to become a business value generator, 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 lever for the important technological changes ahead – rapid transformations that are set to shape how future organizations work and perform.
That's why business leaders turn to CIOs and IT leaders for insights and knowledge of enterprise readiness strategies to ensure their organizations can leverage current and future AI capabilities.
Why data increasingly means business value
With the creation of global data Expected To grow to over 180 zettabytes by 2025, there is huge value potential in becoming a data-driven company. But doing so requires a technology stack designed for the age of intelligence.
While organizations today have a strong appetite for AI and automation, the reality is that vast amounts of data and many data pipelines lie at the core of these technologies. CIOs and IT leaders are already evaluating the technologies required to transform business processes to data-driven decision-making, and in a future where generative AI is set to be deeply integrated into every aspect of business, this is becoming critical.
The role of technology in shaping the future enterprise cannot be denied. The exponential growth of data within every organization and the ever-changing business landscape indicate that AI-driven automation will remain a key feature of future enterprises. Alteryx research It reveals that 60 percent of business leaders say investing 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 transform these increasing volumes and types of data into business opportunities, by preparing for this increasingly complex and data-driven future.
Forward-thinking IT leaders are already seeing a direct connection between modernizing the data governance journey across the entire technology stack and making it easier to extract value from data at the speed and scale needed for real-time intelligence. The same Alteryx research indicates that digital transformation related to AI and machine learning will be the number one feature of future enterprises, and the technology group's priorities are already starting to shift to reflect this. Generative AI, quantum computing, and machine learning operations (MLOps) are cited as the technologies that are likely to see the greatest shift in accelerated adoption in the future.
Delivering the next generation of AI-ready business transformation
Although it has only been a short time since the pandemic forced many organizations to accelerate transformation at breakneck speeds, the emergence of AI-related technologies will re-enable these transformations. Why? Because AI has lowered the barriers to productivity gains by delivering data-driven insights with just a sentence or a prompt. With countless data-oriented AI technologies and intelligent systems already available, the ultimate goal of this transformation is to modernize the data management journey across the entire portfolio.
To do this, technology leaders, more than ever, need to be changemakers who are able to prioritize both IT technical needs and business needs – all while ensuring that none of the connected systems and technologies disrupt the value chain or create friction.
One-size-fits-all technology cannot help companies understand customer needs, enhance efficiencies, and create the competitive advantage their organizations need. For any technology to accelerate data flow across the future technology stack, it must:
1. Avoid overly complex architectures and tools that require specific skills. Only by empowering your entire workforce to fully leverage technologies to harness and compute data, and creating available automation resources, will you be able to unleash the full potential of the future technology stack and ensure it delivers ROI by increasing business value across the entire organization.
2. Learn how to spot exciting, bright trends that may look good but won't do their job And avoid buying a bunch of tools that aren't designed for business users. If you disrupt the value chain and cause friction because part of the technology stack is broken or a capability in the value chain is lost, it causes friction for everything else – costing money, time and potential innovation.
3. Invest in platforms that support multiple personas, unlimited use cases, and feature expansion – All of this is essential to reduce costs and increase ROI and future investments.
4. Look for AI-ready, future-proof platforms that excel at data quality, security, and governance Mechanisms needed by information technology. Providing 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 a company needs to make quick, confident decisions – sometimes in a split second. .
At Alteryx, we continue to integrate AI innovations into the Alteryx Analytics Cloud Platform through iodine, to support multiple personas, unlimited use cases, and expand future features. Our innovative, powerful multi-modal approach to AI-driven analytics enables everyone to leverage the tool of their choice to develop real-time collaborative analytical insights, from chat prompts to no-code workflows and code-friendly Python and SQL notebooks. All of these can be directly translated by generative AI into a single analytics solution that enables data outcomes across businesses at scale.
Read more About how the Alteryx Analytics Cloud Platform provides the data orchestration layer for 49 percent of Global 2000 organizations – ensuring companies have the necessary analytics, IT governance and security to accommodate growing demands for data, automation and generative AI.
Trevor Schulz, CIO, Alteryx
(T-rex)
As Alteryx's CIO, Schulz leads the global IT team in delivering a comprehensive suite of business-led technology services and solutions. It works to inspire global teams to envision and implement creative solutions to challenging business problems and successfully capitalize on new market opportunities. His focus is on transforming businesses through innovative operational and technology initiatives and bringing award-winning products to market.
Prior to joining Alteryx, Schulz served as CIO at RingCentral, where he led a multinational team responsible for setting the company's strategic IT direction and reimagining its business operations to support business goals of growth and profitability.
