Phil Meredith’s Post

Data literacy and AI literacy are critical for driving #innovation and #transformation. Understanding how to effectively operationalize #data and integrate #AI into workflows can unlock new insights and efficiencies. Read more ➡️ https://lnkd.in/gzQMgsDe #DataManagement #DataStrategy #Analytics #CDO #CloudMigration #GraphDatabase #DataPlatform

To drive true innovation, companies must prioritize both data and AI literacy. Data literacy equips employees to understand and leverage data, ensuring informed decisions and improved governance. Meanwhile, AI literacy allows teams to effectively use AI tools, recognizing their limitations and ethical implications. Together, these literacies empower organizations to harness accurate data, unlock insights, and foster growth. In an AI-first world, data should still serve as the foundation, guiding and enhancing AI’s impact. Check out my latest blog on DATAVERSITY, Data vs. AI Literacy: Why Both Are Key When Driving Innovation and Transformation #DataLiteracy #AILiteracy #Innovation #Transformation #AIandData #DataDriven #AI https://lnkd.in/ezwttyqH

TTEC Digital's Director of AI Solutions, Aaron Schroeder says, "In the rush to spread AI literacy and sharpen AI strategy, many organizations are missing the other half of the equation: Data literacy. Ultimately, data literacy is what will separate OK AI strategies from truly transformational ones. No matter the AI use case, unstructured data is the fuel. Content, conversation, and customer data create the foundation that will propel your AI strategies forward, but only when guided by the bumpers of data governance policies, classification techniques, and others." Read more about why AI literacy and data literacy are better together 🙌🏻 https://ttecd.co/3WeLVB6

𝟭𝟬 𝗸𝗲𝘆 𝗳𝗮𝗰𝘁𝘀 from the 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗟𝗶𝘁𝗲𝗿𝗮𝗰𝘆 𝗥𝗲𝗽𝗼𝗿𝘁 𝟮𝟬𝟮𝟰 Source: DataCamp https://buff.ly/40ojNPl AI Disclaimer: Text Generation PDF Extraction by #GPT-4o Key Facts: 𝟭. 𝗪𝗼𝗿𝗸𝗳𝗼𝗿𝗰𝗲 𝗔𝗜 𝗣𝗿𝗲𝗽𝗮𝗿𝗲𝗱𝗻𝗲𝘀𝘀: 82% of leaders say employees will need new skills to handle AI growth, as tools like ChatGPT become more integrated into daily workflows (usage of ChatGPT at work doubled in 2023). (p. 4). 𝟮. 𝗗𝗮𝘁𝗮 𝗟𝗶𝘁𝗲𝗿𝗮𝗰𝘆 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝗰𝗲: 86% of leaders consider data literacy crucial for daily tasks, and 62% see AI literacy as important, with both areas growing in importance as AI systems become more embedded. (p. 5). 𝟯. 𝗨𝗽𝘀𝗸𝗶𝗹𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗥𝗲𝘀𝗸𝗶𝗹𝗹𝗶𝗻𝗴 𝗚𝗮𝗽𝘀: 62% of leaders acknowledge an AI literacy skills gap in their organization, while 57% recognize a gap in data literacy, both marking an increasing need for skills development. (p. 11). 𝟰. 𝗔𝗜 𝗘𝘁𝗵𝗶𝗰𝘀 𝗮𝗻𝗱 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴: The most sought-after AI skills include understanding AI concepts (70%) and ethics (69%), reflecting the need for responsible AI use. (p. 17). 𝟱. 𝗟𝗲𝗮𝗱𝗲𝗿𝘀 𝗪𝗶𝗹𝗹𝗶𝗻𝗴 𝘁𝗼 𝗣𝗮𝘆 𝗳𝗼𝗿 𝗦𝗸𝗶𝗹𝗹𝘀: 72% of leaders are willing to offer higher pay for candidates with data literacy, while 60% would offer premiums for AI skills, highlighting the growing value of these competencies. (p. 9). 𝟲. 𝗔𝗜 𝗦𝗸𝗶𝗹𝗹𝘀 𝗟𝗼𝘄𝗲𝗿 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗥𝗶𝘀𝗸: 57% of leaders believe that employees with AI literacy are less vulnerable to job automation, showing AI literacy as a defense against automation fears. (p. 36). 𝟳. 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗮𝘀 𝗮 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝘆: 84% of leaders view data-driven decision-making as the top skill for their teams, followed by data visualization, reflecting a strong focus on descriptive analytics. (p. 15). 𝟴. 𝗔𝗜 𝗟𝗶𝘁𝗲𝗿𝗮𝗰𝘆 𝗔𝗴𝗮𝗶𝗻𝘀𝘁 𝗗𝗶𝘀𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: 73% of leaders agree that AI literacy is crucial for combating misinformation, emphasizing the need for a robust AI governance framework to handle disinformation risks. (p. 35). 𝟵. 𝗔𝗜 𝗨𝗽𝘀𝗸𝗶𝗹𝗹𝗶𝗻𝗴 𝗘𝗳𝗳𝗼𝗿𝘁𝘀 𝗟𝗮𝗴𝗴𝗶𝗻𝗴: While 35% of organizations have mature data literacy programs for all employees, only 25% offer comprehensive AI literacy programs, indicating AI upskilling is still nascent. (p. 19). 𝟭𝟬. 𝗕𝗹𝗲𝗻𝗱𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗶𝘀 𝘁𝗵𝗲 𝗣𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱: Approach: 30% of leaders prefer a blended learning approach, combining online and in-person training for effective data and AI upskilling, making it the most popular method. (p. 21).

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This article highlights the importance of data literacy as organisations continue to dive deeper and deeper into the world of Artificial Intelligence. Speaking with both candidates and data leaders, data literacy has continued to come up in conversations as being a core practice to best establish a data driven culture. #dataliteracy #dataanalytics #gartnerinsights #Konnexusrecruitment #ai

So much "AI" talk. But don't forget the need for strong Data Management. Don't miss the newest article on Datanami featuring Ensono's CTO, Tim Beerman! Tim emphasizes the significance of robust data management for the success of GenAI, showcasing how proper data governance can elevate your AI initiatives. Find out why establishing a solid data foundation is essential for reaching AI readiness and delivering meaningful outcomes. Read the full article: https://okt.to/q1NlOY #makebetterhappen #DataGovernance #GenAI #AIReadiness

While the skills and capabilities of AI are concentrated to highly technical roles industry leaders are beginning to realise the importance of a workforce knowledgeable in data, analytics and AI. #Data #DataAnalytics #ArtificialIntelligence https://bit.ly/3SVrit9

Navigating the Age of AI: Empowering Data Literacy in a Digital World https://lnkd.in/eXvmkYYr #DataLiteracy #AIDrivenWorld #DigitalTransformation #LeanSixSigma #ArtificialIntelligence #DigitalMarketing #DataDrivenDecisions #Innovation #OpEx90 #AIReadiness

Great article by my colleague Aaron Schroeder. It talks about the interdependence of AI literacy and data literacy. “As you increase your organization’s data literacy, it will help bolster your ability to recognize and apply AI to new areas, and communicate those to the teams and individuals who will use them. Meanwhile, higher AI literacy drives better use cases and applications for AI, which in turn can help produce more valuable data.” Have a look and see how Aaron suggests increasing data literacy at your company!