交付具有数据成熟度的人工智能

ACCELERATEAI-DRIVENTRANSFORMATION 03WHERE IS MY DATA?04IS MY DATA MATURE?05CAUSES OF DATA CHAOS06MISALIGNMENT WITH BUSINESS OBJECTIVES07THE COMMON DENOMINATOR OF AI MISEXECUTION08FROM PROMISED TO DELIVERED09GETTING STARTED10CUSTOMER CASE STUDY11THE VALUE OF STRONG PARTNERS12CONCLUSION Accelerate AI-Driven Transformation WHERE IS MY DATA? Organizations across industries are increasingly looking to leverage AIto gain a competitive edge, improve operational efficiency, and deliverenhanced customer experiences. However, fragmented data, outdatedlegacy systems, and a lack of alignment between data initiatives andbusiness objectives often stall promising AI projects. It turns out, scalingAI-based applications requires a comprehensive understanding of theorganization’s data foundation — what data is being collected and howto access it. of companies requiring a complete dataoverhaul report that no one in their organizationhas a comprehensive understanding of the datacollected or how to access it. IS MY DATA MATURE? 58% of leaders observe strategic business decisions beingmade based on inaccurate or inconsistent data.33% In today’s business landscape, data is the driving force behindstrategic decision-making, innovation, and growth. Businesses thatprioritize effective data practices are better positioned to build newrevenue streams, enhance efficiency, and monetize their data assets.However, many businesses continue to struggle with basic datachallenges. In fact, a majority of organizations find themselves makingbusiness-critical decisions based on inaccurate or incomplete data. of leaders have major challenges accessingcritical data when they need it.44% Data maturity refers to an organization’s ability to effectively manage,utilize, and extract value from its data assets. It encompasses datagovernance, data quality, data accessibility, and data literacy. of business leaders report that robust, mature datamanagement practices have enabled them to unlocknew revenue streams. Accelerate AI-Driven Transformation4 CAUSES OFDATA CHAOS39% Data silos and legacy systems Data often resides in disparate systems and across locations, creating silosthat hinder a unified view of the organization’s data assets. Connectinginternal and external applications is a must to translate data into insights,but it requires the expertise and APIs to make the connections. of business leaders see reliance onoutdated legacy technology as a barrierto creating a future-ready data strategy. Legacy systems can also get in the way of data integration and accessibility,making it difficult to utilize critical data for modern, AI-powered initiatives. In fact,transforming legacy applications into cloud-native solutions that can seamlesslyintegrate with AI services is one of the biggest barriers to achieving resultsfrom AI initiatives. MISALIGNMENTWITH BUSINESSOBJECTIVES Data initiatives that are not aligned with core business goals can leadto wasted resources and missed opportunities. A lack of understandingof data maturity requirements across the organization can makeprioritization of critical projects challenging and justification forinvestments a nonstarter. Unfortunately, the consequence ofdisconnecting data initiatives from a clear business case often reinforcesmanagement’s misunderstanding of the value of data maturity efforts. of organizations in need of a complete data strategyoverhaul say their leadership does not fully grasp howto generate value from data, impacting prioritizationand investment in data initiatives. THE COMMONDENOMINATOR OFAI MISEXECUTION98% Often, the difference between a successful AI proof of concept and ascalable AI-based application that generates the expected ROI is anorganization’s data maturity. Businesses that find themselves stalledtypically face poor-quality, inaccessible, or incomplete data. Withoutfoundational improvements, AI initiatives risk being undermined byoutdated and inadequate data frameworks. of global respondents agree that significantchanges are essential to unlock AI’s capabilities.Among them, 73% believe this requires eithermajor updates or a complete overhaul of theirdata strategies. FROM PROMISEDTO DELIVERED: Benefits of data maturity54% Putting in the work to identify and deliver data maturityfor your organization enables big benefits, fast — acrossyour business. Improve decision-making: Access to accurate, complete,and timely data empowers organizations to make informeddecisions that drive better business outcomes. Enhance operational efficiency: Data-driven insights can helporganizations optimize processes, reduce costs, and improve productivity. of organizations report that strong data managementled to substantial operational and strategic benefits,including enhanced efficiency and productivity. Enable new revenue streams: Identify new revenue streams, monetizedata assets, and deliver enhanced customer experiences that drive salesgrowth with robust, mature data man