Now and then, companies roll out AI updates, and you hear about the promise of AI and its innovative use cases—from perfect customer personalisation to fluid email marketing flows. But when you try to use AI for your company’s projects, you’re stuck in pilot phases, struggling to deliver real value, and experiencing difficulty rolling its […]Now and then, companies roll out AI updates, and you hear about the promise of AI and its innovative use cases—from perfect customer personalisation to fluid email marketing flows. But when you try to use AI for your company’s projects, you’re stuck in pilot phases, struggling to deliver real value, and experiencing difficulty rolling its […]

AI hype to AI-ready

2025/12/10 15:45

Now and then, companies roll out AI updates, and you hear about the promise of AI and its innovative use cases—from perfect customer personalisation to fluid email marketing flows. But when you try to use AI for your company’s projects, you’re stuck in pilot phases, struggling to deliver real value, and experiencing difficulty rolling its use out more widely in the organisation. And while you understood AI to be cost-efficient, the cost-benefit ratio is not clear because you’re struggling to achieve real value.

It’s easy to get carried away by AI hype that goes, ‘AI is here, ’ or ‘AI is the next big thing. ’ But all of that overlooks a simple truth: models are only as good as the data they consume. This is the AI Readiness gap that ADG wants to close.

Every organisation has a vast amount of information, from documents to spreadsheets to emails and videos. This data is often messy, unstructured, and trapped in organisational silos. Trying to run sophisticated AI models on this faulty  ‘data foundation’ will lead to wasted capital and a lack of measurable return on your AI investment (ROI).

Daniel Acton, chief technology officer of Accelera Digital Group (ADG), says, “We need to be honest that AI is not magic; you cannot layer a sophisticated model over chaotic data and expect a return. Without accurate inputs, even the most advanced generative AI becomes nothing more than expensive guesswork. Hype might sell the software, but it is the quality and availability of your underlying data that determines whether that investment fails or succeeds.”

A mature, AI-ready data foundation 

If you want reliable, scalable artificial intelligence solutions, you must first build a solid foundation, and this is where Accelera Digital Group (ADG) comes in. ADG helps you create this mature, AI-ready data environment: from business ideation, uncovering the most valuable AI use-cases, to ensuring your data is clean, structured, and secure. This equips your AI models to operate with precision and provide real business value. 

Daniel Acton, chief technology officer of Accelera Digital Group (ADG)

Acton explains, “A mature data foundation is what solves the ‘triad of failure’—silos, unclear authority, and poor quality. When you fix the foundation, you move from disjointed experiments to scalable intelligence. Whether it is ensuring regulatory compliance or predicting market trends, a solid data strategy ensures that when your AI makes a prediction, it is based on a single, trusted version of the truth.”

What do businesses need to do to go from AI maybe to AI-ready?

To transform your data landscape and close the readiness gap, ADG takes a three-step approach:

1. Define a strategic plan (Advisory)

For organisations to adopt a data-driven approach, data needs to be thought of as a product — it has users and serves a purpose, and must adhere to certain quality levels. Here, ADG adopts a “business before technology” approach.  Before diving into your data, they take a step back to understand “the what” before “the how”, ensuring your business objectives are clearly defined and prioritised.  Once this strategic direction is set, ADG advises you on how to consolidate your scattered data stores and transform raw, structured and unstructured information into a fit-for-purpose structure. 

2. Implement a scalable infrastructure (Implementation)

Next, ADG’s engineers build a physical foundation through designing and implementing robust cloud solutions with platforms such as Google Cloud. ADG’s engineers create automated data pipelines that continuously feed clean, standardised data directly into your AI models, ensuring they always benefit from the best data.

3. Ensure sustainable performance (Managed services)

Finally, you must protect and optimise your investment, and to support this, ADG provides ongoing ‘Managed Services’ that continuously monitor your data flow and cloud resources. This ensures that security is maintained, costs remain efficient, and your AI systems deliver consistent, high-impact results as your business scales.

To get started with ADG, head over to adg.io. If you are ready to see the blueprint for your AI success, download ADG’s complimentary report, ‘Building the AI-Ready Data Foundation,’ to understand the strategy and technology required to move from data chaos to scalable intelligence. Download the report here.

Sorumluluk Reddi: Bu sitede yeniden yayınlanan makaleler, halka açık platformlardan alınmıştır ve yalnızca bilgilendirme amaçlıdır. MEXC'nin görüşlerini yansıtmayabilir. Tüm hakları telif sahiplerine aittir. Herhangi bir içeriğin üçüncü taraf haklarını ihlal ettiğini düşünüyorsanız, kaldırılması için lütfen [email protected] ile iletişime geçin. MEXC, içeriğin doğruluğu, eksiksizliği veya güncelliği konusunda hiçbir garanti vermez ve sağlanan bilgilere dayalı olarak alınan herhangi bir eylemden sorumlu değildir. İçerik, finansal, yasal veya diğer profesyonel tavsiye niteliğinde değildir ve MEXC tarafından bir tavsiye veya onay olarak değerlendirilmemelidir.

Ayrıca Şunları da Beğenebilirsiniz

Wormhole Jumps 11% on Revised Tokenomics and Reserve Initiative

Wormhole Jumps 11% on Revised Tokenomics and Reserve Initiative

The post Wormhole Jumps 11% on Revised Tokenomics and Reserve Initiative appeared on BitcoinEthereumNews.com. Cross-chain bridge Wormhole plans to launch a reserve funded by both on-chain and off-chain revenues. Wormhole, a cross-chain bridge connecting over 40 blockchain networks, unveiled a tokenomics overhaul on Wednesday, hinting at updated staking incentives, a strategic reserve for the W token, and a smoother unlock schedule. The price of W jumped 11% on the news to $0.096, though the token is still down 92% since its debut in April 2024. W Chart In a blog post, Wormhole said it’s planning to set up a “Wormhole Reserve” that will accumulate on-chain and off-chain revenues “to support the growth of the Wormhole ecosystem.” The protocol also said it plans to target a 4% base yield for governance stakers, replacing the current variable APY system, noting that “yield will come from a combination of the existing token supply and protocol revenues.” It’s unclear whether Wormhole will draw from the reserve to fund this target. Wormhole did not immediately respond to The Defiant’s request for comment. Wormhole emphasized that the maximum supply of 10 billion W tokens will remain the same, while large annual token unlocks will be replaced by a bi-weekly distribution beginning Oct. 3 to eliminate “moments of concentrated market pressure.” Data from CoinGecko shows there are over 4.7 billion W tokens in circulation, meaning that more than half the supply is yet to be unlocked, with portions of that supply to be released over the next 4.5 years. Source: https://thedefiant.io/news/defi/wormhole-jumps-11-on-revised-tokenomics-and-reserve-initiative
Paylaş
BitcoinEthereumNews2025/09/18 01:31