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Organizations will always be transforming , whether driven by growth opportunities, a pandemic forcing remote work, a recession prioritizing automation efficiencies, and now how agentic AI is transforming the future of work.
Forrester Research this week unleashed a slate of predictions for 2025. Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. 40% of highly regulated enterprises will combine data and AI governance.
Imagine standing at the entrance of a vast, ever-expanding labyrinth of data. This is the challenge facing organizations, especially data consumers, today as data volumes explode and complexity multiplies. The compass you need might just be Data Intelligenceand it’s more crucial now than ever before.
How does our AI strategy support our businessobjectives, and how do we measure its value? I dont think anyone has any excuses going into 2025 not knowing broadly what these tools can do for them, Mason adds. Do we have the data, talent, and governance in place to succeed beyond the sandbox?
As regulatory scrutiny, investor expectations, and consumer demand for environmental, social and governance (ESG) accountability intensify, organizations must leverage data to drive their sustainability initiatives. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.
Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. But with so much data available from an ever-growing range of sources, how do you make sense of this information – and how do you extract value from it? Looking for a bite-sized introduction to reporting?
Deep automation transforms enterprises into living organisms, integrating technologies, processes, and data for self-adjustment. AI-integrated tractors, planters, and harvesters form a data-driven team, optimizing tasks and empowering farmers. Prioritize data quality to ensure accurate automation outcomes.
By George Trujillo, Principal Data Strategist, DataStax. I’ve been a data practitioner responsible for the delivery of data management strategies in financial services, online retail, and just about everything in between. It facilitates the alignment of people, processes, and technology toward a common vision and objective.
Around the same time of the release, Repsol appointed Juan José Casado Quintero as its new chief digital officer (CDO), another strategic move to digitally transform and accelerate the company’s strategy to become a data-driven company.
According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital businessobjectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.
It is projected that there will be over 75 billion IoT devices by the year 2025. How can your company benefit by adapting to an IoT-driven model? Back in 2014, Gordon Hui wrote an article in Harvard Business Review about the ways the Internet of Things changes business models. Better productivity. Another change.
While the past few years have left us with a business landscape scarred by the impact of economic and geopolitical uncertainties, the current AI movement has become a rocket ship for significant transformative changes set to accelerate new opportunities. That’s why business and tech leaders must build for the future now.
IDC estimates that 750 million cloud native will be built by 2025. Three in four executives reported disparate systems in their organizations and that a lack of skills, resources and common operational practices challenge businessobjectives. Executives know they must modernize.
We completed 1,455 energy conservation projects avoiding 161,000 MWh of energy consumption since 2021, on track towards our goal of 3,000 energy conservation projects avoiding 275,000 MWh by 2025. of the electricity we consumed across our global operations came from renewable sources, on track towards our goal of 75% renewable by 2025.
AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. trillion in value.
Without a doubt, Artificial Intelligence (AI) is revolutionizing businesses, with Australia’s AI spending expected to hit $6.4 However, according to The State of Enterprise AI and Modern Data Architecture report, while 88% of enterprises adopt AI, many still lack the data infrastructure and team skilling to fully reap its benefits.
Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?
These platforms can be repositioned as a customer success product that serves various teams and end-user personas while providing a range of workflow and data capabilities. Hopping between silos of information and apps in search of data adds to the gray work tax, slowing down work and projects, says Jon Kennedy, CTO of Quickbase.
Transformation is driven not just by digital initiatives and technologies but also process change, he says. Instead CIOs can incent staff based on the percentage of time they work with groups outside IT to further businessobjectives, he says. It gave us back the ability to be creative and to chase new features.
Unfortunately, this may only get worse, with uncertainty as a constant and the push for gen AI and data across enterprises. Some 50% of the 300-plus business leaders surveyed for the report named challenges with technology infrastructure as the chief internal barrier to cost control.
While EA leaders have long been positioned as key enablers of digital transformation, the rapidly shifting business landscape of 2025 presents new pressures. According to Gartners 2025 Leadership Vision for Enterprise Architecture , several key missteps are preventing EA from delivering the business impact it should.
Global IT spending is expected to soar in 2025, gaining 9% according to recent estimates. This surge is driven by the rapid expansion of cloud computing and artificial intelligence, both of which are reshaping industries and enabling unprecedented scalability and innovation.
2025 Banking Regulatory Outlook, Deloitte The stakes are clear. In todays digital economy, businessobjectives like becoming a trusted financial partner or protecting customer data while driving innovation require more than technical controls and documentation.
It automates data collection, consolidation, and reporting, enabling organizations to generate reliable financial statements quickly. Tax Reporting Longview Tax Longview Tax by insightsoftware automates and optimizes the tax lifecycle, from data collection to compliance and reporting. Interested in learning more?
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