From food delivery to financial trading, real-time data streaming is reshaping how businesses operate. With 51% of IT leaders now prioritizing data streaming platforms, it can help businesses make fast, data-driven decisions without the lag of traditional data processing.
Rakesh Jayaprakash, chief analytics evangelist at ManageEngine, explains why traditional data analytics tools do not provide accurate insights. ManageEngine takes a different approach by training its decision intelligence platform on a specific dataset - to maintain the context.
CIOs are expected to architect future platforms for organizational growth. The stakes are high and so are the risks. The choices made now will reflect on their respective organizations, shaping their viability in a competitive, tech-driven economy.
In the aviation industry, data governance acts as a backbone of digital transformation. Kim Macaulay, chief information and data officer at IATA, shares how the company's data governance strategy broke down silos, enhanced collaboration with airlines, and drove innovation in AI and analytics.
The Gartner CDAO playbook contains 10 plays that define a structure for the AI journey. This article outlines crucial steps for successful AI project execution. From building ecosystems to governance, Plays 6 to 10 address key challenges in scaling AI initiatives and managing associated risks.
Gartner's comprehensive playbook for chief data and analytics officers outlines key steps to transform AI ambitions into disruptive realities. From defining strategy to measuring benefits, Gartner says this guide will pave the way for AI-driven innovation and leadership.
Arlene Romasanta, director IV, Department of Environment and Natural Resources, talks about how her department is using AI, mapping, and drone technologies to bolster environmental monitoring, data analysis, and resource management while addressing ethical concerns.
To create value, D&A leaders must prioritize execution over strategy, focus on D&A functional benefits, and look beyond ROI to business outcomes. Data sharing is a prerequisite for collective intelligence and value creation. They must also improve D&A governance and communicate D&A value.
Cropin, a SaaS-based agritech company, is harnessing satellite imagery and power of AI to provide early crop alerts and enhance crop yields. Praveen Pankajakshan, Cropin's vice president of data science and AI, discusses how the company is digitizing farm boundaries at a global scale.
Enterprises are evaluating AI/ML platforms where anyone can harness data for insights - without possessing technical expertise. Ravi Maguluri, CTO - digital services, and Sushant Dubey, EVP and business head, digital services at Sify Technologies, explain how Sify's Infinit AI/ML platform can help.
IT leaders are poised to employ AIOps to combat the challenges faced by ITOps teams due to vast data volumes, alert fatigue and task prioritization. AIOps can potentially revolutionize IT operations, streamline alert management, and enhance overall reliability by combining AI and ML.
Organizations grapple with data proliferation but struggle to extract insights. Chirag Buch, director, Service Line Lead at Ipsos emphasizes merging analytics and insights, and shifting from historical to forward-looking analytics for actionable solutions.
Post-digital governments are rapidly evolving their data and analytics investments to generate critical insights for core mission needs. As global, economic and environmental instability increases, 'simple' extrapolation from past experiences is no longer sufficient to address government challenges.
Data analytics involves a significant amount of computational and human effort. However, excessive data consumption can lead to inefficiencies and hinder the ability to obtain valuable insights. Bastin Robin, CTO and Chief Data Scientist CleverInsight, recommends beginning with the right question to analyze the data.
By utilizing data visualization tools, the Catholic School Office of Parramatta Diocese has achieved a 94% accuracy rate in forecasting student performance. These data insights are then used for timely interventions that lead to an improvement in performance across the board.
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