As AI becomes embedded in business operations, data resilience is evolving from an IT concern into a governance priority. Veeam’s VeeamON 2026 announcements reflect a growing recognition that AI systems are only as trustworthy as the data behind them — and that recovery, integrity and resilience now play a critical role in managing AI risk.
Read the full story: https://www.techfinitive.com/features/beyond-backup-why-veeam-is-reframing-data-resilience-as-an-ai-governance-layer/
Your £2M Data Problem Becomes a £20M AI Risk by 2030
Subject: The £2M problem that becomes £20M in 2030 Hi Why AI amplification will separate survivors from casualties. By 2030, AI, quantum computing, and IoT will converge into an integrated technological ecosystem. If your data foundation is broken today, the convergence will not save you—it will destroy you. I've spent 20+ years watching organizations invest billions in transformation while ignoring the one thing that determines success: their data foundation. I've seen the £15M transformation disasters. The £7M costs of fear-driven silence. The £2M annual bleeds from "just how things work." But 2030 changes everything. Because AI doesn't just use your data. It amplifies it. Let me show you what this looks like in practice. Most organisations already live with data issues. Inconsistent definitions. Missing fields. Duplicates. Stale records. Quiet reshaping of data as it moves between systems. Today, many of these problems are contained because humans sit in the loop. An analyst questions a number. A manager challenges a report. Someone spots something that doesn't feel right before it triggers major action. As we move toward 2030, that changes. AI-enabled workflows increasingly: make decisions automatically, trigger downstream actions automatically—orders, pricing, eligibility, routing, fraud controls, operate continuously rather than weekly or monthly, rely on multiple systems and external data feeds. In plain terms: the same error creates more consequences before anyone notices. Read more in this blog and my book https://lizhendersondata.wordpress.com/your-unseen/ Best wishes Liz Henderson - Data Queen https://lizhendersondata.wordpress.com/your-unseen/https://lizhendersondata.wordpress.com/2026/06/22/your-2m-data-problem/
PPWR | Digital Product Passport | AI
These three issues are among the biggest challenges facing the PET industry today, and they all have one thing in common:
They all depend on the quality of your product data.
That's why we've launched a new industry resource page focusing on data sovereignty, product information and digital transformation for PET manufacturers, packaging companies and recyclers. Inside, you'll find:
✅ A free Product Data Self-Assessment
✅ Expert articles on product data, digital sovereignty and innovation
✅ PPWR and Digital Product Passport insights
✅ AI readiness for product information
✅ Practical workshop offerings
✅ Presentation slides from our PETnology session
If you work in the PET industry and want to understand the impact of product data on compliance, AI and digital sales, this is a good place to start.
🔗 https://www.pluswerk.digital/en/petnology
#PETIndustry #ProductData #DigitalSovereignty #PPWR #DigitalProductPassport #AI #PackagingIndustry #PIM #DataManagement
📊 La 𝗗𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻 𝗱𝗲 𝗹𝗮 𝗥𝗲𝗰𝗵𝗲𝗿𝗰𝗵𝗲 𝗲𝗻 𝗦𝗮𝗻𝘁𝗲́ recrute un(e) 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 𝗦𝗲𝗻𝗶𝗼𝗿.
Au sein du secteur Promotion Interne, vous piloterez les activités de data management des études cliniques, de la conception des bases de données jusqu’à leur archivage.
🔬 Recherche clinique
📊 Qualité et conformité des données
💻 REDCap, SAS, R
#APHM #RechercheClinique #DataManagement #SantéNumérique ##recherchemedicale
NGA Overhauls Workforce with AI-Driven Training Initiative
The National Geospatial-Intelligence Agency is revolutionizing its workforce with a cutting-edge AI-driven training initiative, requiring all new and existing hires to demonstrate AI and data management skills. This bold move ensures every team member is equipped to thrive in a rapidly evolving tech landscape.
#AidrivenTraining #NationalGeospatialintelligenceAgency #Nga #ArtificialIntelligence #DataManagement
🤖 I NAS AI-ready portano storage, sicurezza e analisi a un nuovo livello: dati aziendali più rapidi, scalabili e pronti per l’AI. #DataManagement #AI
🔗 https://www.tomshw.it/hardware/i-nas-ai-ready-cambiano-la-gestione-dei-dati-in-azienda
New blog post: SharePoint: When "Infinite" Cloud Storage Hits a Brick Wall
A university hit its SharePoint and OneDrive capacity limits, locking out students and faculty from saving files. It’s a proper mess and shows that the cloud ain't magic.
https://rhodzy.com/blog/sharepoint-when-infinite-cloud-storage-hits-a-brick-wall
#sharepoint #onedrive #cloudstorage #itoperations #datamanagement #enterpriseit
Looking Forward to Postgres 19: It's About Time
https://www.pgedge.com/blog/looking-forward-to-postgres-19-its-about-time
#HackerNews #Postgres19 #DatabaseUpdates #TechTrends #OpenSource #DataManagement
📚 Que deviennent les données de recherche après la soutenance d'une thèse ?
La fin d'une thèse marque l'aboutissement de plusieurs années de recherche. Mais elle soulève aussi une question essentielle, souvent sous-estimée : que faire des données produites pendant le doctorat ?
Pour accompagner les doctorantes et doctorants dans cette étape, l'atelier de la donnée ADOC Lorraine vous propose une fiche pratique qui présente les points clefs à connaître :
✔️ Identifier les données à conserver
✔️ Choisir un entrepôt de confiance pour leur dépôt
✔️ Relier les jeux de données à la thèse dans HAL
✔️ Valoriser ses données grâce à un data paper
✔️ Organiser la conservation des données non diffusables
✔️ Anticiper l'archivage de son environnement de recherche
Cette ressource s'inscrit pleinement dans les démarches de #scienceouverte et de gestion responsable des données de la recherche.
📄 Retrouvez la fiche pratique ici :
https://doi.org/10.5281/zenodo.20624965
#ScienceOuverte #OpenScience #DonnéesDeLaRecherche #ResearchData #Doctorat #Thèse #DataManagement
Cette fiche pratique à destination des doctorants et doctorantes de l'Université de Lorraine, ainsi que de leurs directeurs et directrices de thèse, présente les éléments essentiels à connaître pour gérer les données de recherche issues de la thèse. Mise en forme graphique : Anne-Marie Hemmerlé (Université de Lorraine, Direction de la Documentation).
TechFinitive
Data Queen
+Pluswerk AG
AP-HM - CHU de Marseille
Analyst207
Tom's Hardware Italia
rhodzy
Hacker News
PPC Land
Laetitia Bracco