To address these Data Management challenges, organizations should assess their data hygiene and align their strategies. These include a zero-trust posture, data lifecycle fundamentals like classification and tagging, and incorporating a 3-2-1 backup methodology that includes immutable storage. Starting from the ground up is the best way to korea whatsapp number data address data inefficiencies and will result in meaningful outcomes when it comes time to analyze data for business decision-making.
IT Leaders Are Optimistic About Generative AI – But
Organizations across industries are excited about generative artificial intelligence (AI) and large language models (LLMs), and for good reason. Tools like Chat GPT-4 have the potential to transform business and revolutionize how employees do their jobs, so it’s no surprise that many people are enthusiastic about implementing them within their organizations. However, LLMs are only as good as the data on which they are trained. If an organization’s data isn’t properly sorted, tagged, and secured, the addition of LLMs will not be nearly as transformative as business leaders hope. Nearly half (45%) of IT leaders admitted that ineffective and inefficient Data Management means they can’t leverage emerging technology such as generative AI, which can put them at a competitive disadvantage.