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Red Hat AI leverages enterprise AI adoption across all models, AI accelerators and clouds

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Red Hat AI leverages enterprise AI adoption across all models, AI accelerators and clouds

New updates across Red Hat's AI portfolio drive major transformations in the enterprise sector. Through Red Hat AI, the company seeks to further extend the capabilities needed to accelerate technology adoption, offering more freedom and confidence to customers in generative AI (gen AI) deployments in hybrid cloud environments.As of the launch of Red Hat AI Inference Server, third-party validated models in Red Hat AI, and integration with the Llama Stack and Model Context Protocol (MCP) APIs, the company repositions to the market for various artificial intelligence modalities. 

According to Forrester, open source software will be the engine to accelerate enterprise AI efforts.As the AI landscape becomes more complex and dynamic, the Red Hat AI Inference Server and third-party validated models deliver efficient inference and a tested collection of performance-optimized AI models on the Red Hat AI platform. By integrating new APIs for gen AI agent development, which includes Llama Stack and MCP, Red Hat works to simplify deployment complexity, empowering IT leaders, data scientists, and developers to advance their AI initiatives with more control and efficiency.

Efficient hybrid cloud inference with Red Hat AI Inference Server

The Red Hat AI portfolio features the new Red Hat AI Inference Server, Featuring faster, more consistent, and cost-effective inference at scale in hybrid cloud environments. This addition is integrated with the latest versions of Red Hat OpenShift AI and Red Hat Enterprise Linux AI, and is also available as a standalone solution, enabling organizations to deploy intelligent applications with greater efficiency, flexibility, and performance.

Tried and optimized models with Red Hat AI and third-party validation

The third-party validated models of Red Hat AI, available in Hugging Face, Make it easy for businesses to choose the right models for their needs. Red Hat AI offers a collection of validated models, as well as deployment guidance that increases customer confidence in model performance and reproducibility of results. Selected models are also optimized by Red Hat, with model compression techniques that reduce their size and increase inference speed, helping to minimize resource consumption and operating costs.In addition, the continuous model validation process helps Red Hat AI customers stay at the forefront of gen AI innovation.

Standardized APIs for AI application and agent development with Llama Stack and MCP

Red Hat AI is integrating the Llama Stack'sinitially developed by Meta, together with the MCP from Anthropic, to provide standardized APIs for building and deploying AI applications and agents. Currently available in developer preview version in Red Hat AI, Llama Stack provides a unified API for inference access with vLLM, recovery-enhanced generation (RAG), model evaluation, and more guardrails and agents, in any AI gen model.MCP allows models to integrate with external tools, providing a standardized interface for connecting to APIs, plugins, and data sources in agent workflows.

The latest version of Red Hat OpenShift AI (v2.20) Provides additional improvements to build, train, deploy and monitor generative and predictive AI models at scale. Highlights include:

  • Optimized model catalog (technical preview): easy access to validated Red Hat and third-party models, with web console deployment and complete lifecycle management with integrated OpenShift enrollment.
  • Distributed training with KubeFlow Training Operator: run model adjustments with InstructLab and PyTorch workloads distributed across multiple Red Hat OpenShift nodes and GPUs, with distributed RDMA networking for acceleration and better GPU usage to reduce costs. 
  • Feature store (technical preview): based on the upstream Kubeflow Feast project, it offers a centralized repository for managing and delivering data for training and inference, optimizing data flow and improving model accuracy and reusability.

The Red Hat Enterprise Linux AI 1.5 brings new updates to Red Hat's core model platform, which is focused on developing, testing, and running large-scale language models (LLMs) . Key features of RHEL AI version 1.5 include:

  • Availability in Google Cloud Marketplace expanding customers' choice to run Red Hat Enterprise Linux AI on public clouds (in addition to AWS and Azure), making it easier to deploy and manage AI workloads on Google Cloud.
  • Enhanced capabilities in multiple languages for spanish, german, french and italian via InstructLab, allowing customization of models with native scripts and expanding the possibilities of multilingual AI applications. Users can also use their own “teacher” and “student” for greater control in customization and testing, with future support predicted for japanese, hindi and korean.

The Red Hat AI InstructLab on IBM Cloud this new cloud service further simplifies the process of customizing models, improving scalability and user experience. Enterprises can use their data more efficiently and with greater control.

Red Hat vision: any model, any accelerator, any cloud

The future of AI must be defined by unlimited opportunities and not constrained by infrastructure silos.Red Hat sees a horizon where organizations can deploy any model, on any accelerator, in any cloud, delivering an exceptional and more consistent user experience, at no exorbitant cost.To unlock the true potential of gen AI investments, companies need a universal inference platform & a new standard for continuous, high-performance AI innovations, both now and in the years to come.

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Brazil Panels acquires stake in Neurobusiness.org and expands its operations

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Brazil Panels acquires stake in Neurobusiness.org and expands its operations

Brazil Panels, a reference in market research and holder of the first and largest digital panel in Brazil, announces the acquisition of a stake in Neurobusiness.org, a startup evaluated in R$ 5 million and that acts in the creation of an ecosystem of neurobusiness ' APPROACH that unites behavior science, neuromarketing and strategies of ethical influence on consumption.  

The operation marks a strategic move by Brazil Panels towards the development of practical and innovative solutions for companies that wish to increase their sales without giving up responsibility and respect for the consumer.The partnership with Neurobusiness.org will allow the company to integrate scientific knowledge and direct application in the market, supported by a network of experts in neuroscience and behavior.  

“People do not have time to study and test each method 'they want to sell. Neurobusiness arises precisely for this: to help companies influence ethically, practically and effectively.I have always been very connected to neuromarketing and saw in this partnership an opportunity to innovate once again, as we have done with the digital panel. Now, it is time to bring something new to the market and Neurobusiness.org is this path”, says Claudio Vasques, CEO and founder of Brazil Panels.  

With more than 3.5 million people registered in its online panel and national coverage, Brazil Panels has been strengthening its performance as a research and marketing company full service, using quantitative and qualitative methodologies to generate intelligence and support business decisions.The expectation is that the acquisition will also boost the offer of new products via Behavior Insights, a group brand focused on behavior-based solutions.  

“A Neurobusiness.org is almost like a neuroscience laboratory. I am now part of this ecosystem and I have full access to projects, content and training focused on neurobusiness.This will accelerate the development of solutions that deliver real results for companies that need to sell, always respecting the power of choice of the consumer”, adds Vasques.  

Founded recently, Neurobusiness.org aims to create a new market logic, uniting behavior science, communication and strategy to support brands in building more humane and effective relationships with their audiences. The partnership with Brazil Panels reinforces this commitment and extends the scope of the project. 

Nuvemshop launches free tools to support entrepreneurs

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Nuvemshop launches free tools to support entrepreneurs

Nuvemshop, an e-commerce platform, has just launched four new free tools aimed at retailers who want to professionalize and boost their e-commerce. The solutions cover different moments of the entrepreneurial journey, such as strategic planning, product pricing and content creation for social networks.

“Our goal is to facilitate the entrepreneurial journey, offering resources that really make a difference in the day to day of those who sell over the internet.All tools were designed to be intuitive, practical and accessible for all types of businesses, even for those who are just starting”, explains Bruno Diegues, director of software engineering at Nuvemshop.

Among the novelties is the guided process of SWOT Analysis, which helps the shopkeeper to understand the strengths, weaknesses, opportunities and threats of his business. At the end of the analysis, a PDF file is generated with the quadrants filled and suggestions for next steps.

The new Cost Calculator, in turn, facilitates the accurate calculation of production or acquisition values of products, which helps in defining more strategic prices.

The platform also offers a Post Idea Generator for Instagram, with thematic and customizable suggestions that can be used in the social networks of stores. Already the Billing Message Generator has been developed especially for those who already sell, but does not yet have a virtual store. It offers ready and friendly models to remind customers about pending payments, contributing to the recovery of sales in a gentle and effective way.
 

In addition to these releases, Nuvemshop has also improved some existing tools. The Name Generator has started to use artificial intelligence to create more creative suggestions and aligned with the profile of each brand.The WhatsApp Link Generator now has preview and personalized messages, ready for use. And the Image Resizer has gained specific formats for logo and favicon, facilitating the visual configuration of stores.
 

All tools are available for free and can be accessed this link.

Freight has new drop in April with slight retreat of 0.14%, shows Edenred Freight

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Freight has new drop in April with slight retreat of 0.14%, shows Edenred Freight

According to data from the latest analysis of the Edenred Freight Road Freight Index (IFR), based on exclusive data from the Edenred Repom platform, the average freight price per kilometer driven in the country registered a slight negative variation of 0.14% in April compared to March. The national average value went from R$ 7.35 to R$ 7.34, thus recording the second consecutive month of retraction. 

“This new fall reflects a moment of economic waiting.In April, the main sectors that influence the demand for transport, such as industry, agriculture and construction, did not present relevant movements. This translated into little variation in the prices of”, explains Vinicios Fernandes, who Director of Edenred Freight. 

Another factor that may have contributed to the decline is the reduction in diesel prices at stations. According to the Edenred Ticket Log Price Index (IPTL), the common diesel had an average value of R$ 6.38 in April, with a fall of 1.85% compared to March. Already the type S-10 was marketed to R$ 6.44, after a decline of 1.83%. 

“O diesel is one of the main costs of road transport, so reductions such as those observed in April help to alleviate operating costs and can directly reflect on freight values. With the new downward adjustments, there is a possibility of impact also on the table of the minimum freight floor, causing new variations in the coming months”, adds Fernandes. 

The IFR is an index of the average freight price and its composition is raised based on exclusive data from the 8 million annual freight and toll voucher transactions administered by Edenred Repom. The brand of the line of business of Mobility of Edenred Brasil, for 30 years is specialized in the management and payment of expenses for the market of road freight transport, leader in the segment of freight payment and toll voucher with 8 million annual transactions and more than 1 million truck drivers served throughout Brazil. 

Smart Omnichannel: How AVIs can unify the customer experience

Francisco Chang's
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Smart Omnichannel: How AVIs can unify the customer experience

In recent years, we have heard a lot about omnichannel, the idea of offering an integrated customer experience, whether in physical or digital, by phone, app or in store. But in practice, few companies have really managed to deliver on this promise. Most operate with channels that coexist, but do not talk to each other. The result? Frustrated customers who need to repeat information, disconnected experiences and missed opportunities.

This is where what I call Smart Omnichannel comes in. And the secret of this new generation of integration lies in the strategic adoption of Smart Virtual Agents (AVIs).

I have observed that AVIs are not just sophisticated chatbots.They are the layer of intelligence that allows you to unify channels and create a fluid and continuous customer journey.And this is more than an operational improvement, it is a paradigm shift in the relationship between brands and people.

From disconnected multichannel to Smart Omnichannel

Today, many contact centers and service areas live the challenge of multichannel. The customer starts on WhatsApp, migrates to the phone and ends in the email, and at each point needs to start over from scratch. This is because the channels are managed by different systems, without a single view of the customer journey.

The Smart Omnichannel solves this pain by placing an AVI in the center of the operation, functioning as a kind of “brain” that connects all touchpoints.There are platforms that allow the same virtual agent to serve the customer in the chat, phone, app or on the website, always recognizing the history and context of that person. The result is a seamless experience, the customer feels that he is talking to the same brand, regardless of the channel.

The role of AVIs in customization and efficiency

Another crucial point is that AVIs not only unify channels, but also take personalization to a new level.With the ability to understand intentions, emotions and context, they adjust the conversation in real time, delivering more relevant and human responses.It is conversational AI acting not only in automation, but in building relationships.

In addition, there is a direct impact on efficiency. AVIs filter and solve much of the simple and medium demands, freeing human agents for complex and strategic cases.I have seen significant reductions in cost of care and increases in customer satisfaction (NPS) after implementing this approach.

The big turn is for companies to stop thinking of service only as a cost center and start to see the customer journey as a source of value. The Smart Omnichannel, with AVIs at the center, allows this turn, is no longer about serving, is about delighting and loyalty.

It takes more than technology, it takes a change of mindset, a customer-centric vision, investing in systems integration, and choosing partners that deliver robust, secure, and scalable platforms.

The future: Omnichannel service that anticipates needs

The next step?AIs that not only respond but anticipate. Which identify patterns and proactively offer solutions before the customer even notices a problem.This is the natural evolution of conversational AI and Smart Omnichannel.

The challenge now is: is your company ready for this transformation? Because the customer is already and he expects a fluid, personalized and above all, intelligent experience.

The future of artificial intelligence will be more human than you think

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The future of artificial intelligence will be more human than you think

Artificial intelligence will not steal your job, but it can steal your connection with the customer, if used the wrong way. This is the alert that gains strength in 2025, in the face of a scenario where rampant automation threatens the most important link in business: the human relationship.

According to Gartner's strategic trends report, AI remains at the heart of digital transformations, but companies that want to stay relevant have to rethink their application.More than efficiency, the market requires responsible, contextualized and purposeful intelligence.

For Fabricio Fonseca, a specialist in software engineering and digital transformation, and CTO of ChatGuru, the key is in the balance between automation and empathy. “There is a huge difference between automating and dehumanizing. The customer still wants to be heard, welcomed and understood. AI can, and should, help in this, but with well-defined limits”, he says.

Fabricio highlights that one of the main pitfalls of generative AI is to fall into generic customization. “It is no use using cutting-edge technology if the service sounds the same to everyone. The value is in adapting AI to the tone of voice and the company culture, and this care is a priority in the projects of ChatGuru, which serves more than 5 thousand companies with solutions integrated with WhatsApp Business”, he explains.

According to him, governance is also a critical point. “IA generativa cannot be a black box. Who operates needs to understand how decisions are made, where data comes from and what the impacts of this on the customer experience”, reinforces the expert.

For experts, the future of artificial intelligence in companies will not be defined by those who automate more, but by those who automate better, that is, who can scale processes without losing the authenticity, care and trust of the public. “As Gartner points out, this will only be possible for companies willing to go beyond fashion, building a future in which technology really improves the lives of people”, concludes Fonseca.

IBM launches new AI-driven innovation space in Sao Paulo 

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IBM launches new AI-driven innovation space in Sao Paulo 

IBM today launches a new innovation environment focused on Artificial Intelligence at IBM Innovation Studio, located in its branch in Sao Paulo. Companies, customers and partners will be able to understand, in practice, the real value of AI through immersive experiences with IBM technology, completely connected to business challenges and their impact on results. 

In this space totally dedicated to experiences with watsonx, IBM technology that allows working with AI in the areas of data, intelligence and governance, the company's experts are able to demonstrate AI action in real time with a diverse focus for companies: discussions of MVP, importance of AI agents and technically delve into topics such as governance, bias and drift of AI, showing during the experience exactly how the deviations in model accuracy and data consistency happen objectively, which is still little explored in the market. 

During the visit to the environment, which is part of Innovation Studio, a global network of collaborative spaces designed to accelerate the digital transformation of companies, customers and partners can also experience real crisis situations in companies if AI is used in the wrong way, without the necessary protection and governance tools when it comes to AI for business. Thus, during the experience, IBM AI specialists can show visitors where exactly the technology ended up taking action outside the standards and what are the ideal tools to solve these cases.  

The CEO Study prep a recent IBM interview with two thousand CEOs worldwide revealed that executives interviewed expect the growth rate of AI investments to more than double in the next two years. While 61% confirm that they are actively adopting AI agents today and preparing to implement them at scale, on the other hand, half of respondents recognize that the laughs of recent investments have left their organizations with disconnected and fragmented technologies, which shows the importance of an innovation space like IBM, so that companies understand in practice how AI works for business and the best strategy to use it.  

Companies interested in scheduling to know the space can request the visit through the link.

Understand challenges and legal implications in using Pix in cases of fraud and transaction errors

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Understand challenges and legal implications in using Pix in cases of fraud and transaction errors

With more than 150 million registered users, Pix has consolidated itself as one of the main means of payment in Brazil. Data from the Getulio Vargas Foundation (FGV) indicate that in 2024, 63% of Brazilians used Pix at least once a month, with an average of 32 monthly transactions per user. Another study conducted by the Brazilian Federation of Banks (Febraban) showed the PIX was the most used payment method in Brazil in 202463.8 Billion transactions, a growth of 52% compared to 41.9 billion in 2023, which reinforces the success of the payment method among the Brazilian population.

However, the popularization of the system developed by the Central Bank also brought to light a significant increase in fraud, scams and transaction errors. This scenario raises urgent discussions about the legal responsibility involved in these cases, both by financial institutions and by users themselves.

According to lawyer of the law firm Bosque & lawyers Karina Gutierrez, the increase in cases of scams involving the Pix requires a thorough analysis of the legal framework.“O Pix is an unprecedented technological advance, but its speed and ease of use have also opened loopholes exploited by criminals. In cases of fraud, it is essential to assess whether there was a failure in the provision of the service by the financial institution, which can generate objective responsibility”, he explains.

From a legal point of view, the Consumer Protection Code (CDC) is often applied in these cases, especially when it comes to relationships between customers and financial institutions.In situations of transaction error, such as transfers to wrong accounts, or fraud by social engineering, courts have analyzed the conduct of banks regarding the prevention, detection and response to occurrences.

“In many recent trials, the court has understood that when the bank does not demonstrate to have adopted adequate security and prevention measures, it can be held responsible for the losses suffered by the customer”, says Karina

In addition, Central Bank Resolution 4,893/2021 establishes security guidelines that Pix participating institutions must follow, including the possibility of precautionary blocking of amounts in suspicious cases. However, there are still gaps regarding the standardization of practices and accountability in increasingly sophisticated frauds.

In the tax field, the massive use of Pix has also attracted the attention of the Federal Revenue Service, with discussions about the traceability of operations and their tax impacts, especially for small entrepreneurs and self-employed.Faced with this, experts warn of the need for more financial and digital education for users, in addition to the constant improvement of regulatory standards and security systems.

“A responsibility is shared, but it is up to the financial system to ensure effective means of protection and recovery of values in cases of fraud. The consumer, in turn, must be aware of good practices and signs of a coup. This balance is essential for trust in the” system, concludes the lawyer.

With the continuous growth of Pix, the debate on legal responsibility becomes essential to protect the rights of consumers and ensure the integrity of the Brazilian financial ecosystem. Therefore, it is essential that financial institutions, technology companies and the government act collaboratively in creating more robust security mechanisms, in educating users and in implementing clear standards for accountability in cases of fraud. Only with an integrated approach will it be possible to consolidate Pix as a safe, efficient and reliable tool for all Brazilians.

Pre-sale now has date, time and roadmap impact on digital releases

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Pre-sale now has date, time and roadmap impact on digital releases

For a long time, pre-sale was synonymous with a gray button under the product with the phrase “em soon” or, at most, a registration form for those who wanted to be notified by email. In physical retail, the goal was to ensure demand for a stock that had not yet arrived. But in digital, the game turned & turned forcefully.

Today, the logic of pre-sale has been completely re-signified.It is no longer a passive warning, but a spectacle with date, script, calculated scarcity and millimetrically constructed expectation. “In digital marketing, pre-sale has become the main tool of convincing. It generates desire even before the product is available. And it does so with narrative, positioning and triggers very well structured”, he explains Thiago Finch's, founder of Holding Bilhon and reference in digital launches in Brazil.

The difference between '''isar’ and make the person count the days

Instead of waiting for the consumer to remember that the product exists, brands today create events around the launch. They are content series with a beginning, middle and end, exclusive funnels that only work for a few days and campaigns that transform “ is not yet on sale” an unmissable opportunity. “A digital pre-sale is emotional. It messes with FOMO, with scarcity, with the feeling that if you do not enter now, you will be left out of something important. And this works because people make decisions based on feeling, not just on”, not just on” reason, Finch points out.

The combination of storytelling and automation has also raised this model to a new level.Email sequences, countdown pages, exclusive groups, lives with spoilers and even gamified teasers are part of the gear. The consumer not only follows, but participates in the process & the more he gets involved, the greater the chance of conversion. “A good launch turns curiosity into decision.And this happens before the official opening of the” cart, says the entrepreneur.

The launch is the new stage ¡ ̄ and the consumer is ready to buy

One of the main changes brought by digital releases is the shift of the sale to the center of the experience. It is no longer about showing a ready product, but about building a narrative that makes the public want to be part of it before the end. “People do not buy just for utility. They buy by alignment, by history, by feeling that product has arrived at the right time. And the launch creates this environment”, says Finch.

Another factor that has gained strength is exclusivity. Pre-sales that last 24 or 48 hours, with limited bonuses, mentoring only for the first buyers or early access to new versions create a sense of belonging and urgency. For the consumer, it is more than a purchase: it is an event that he wants to be part of. “When the brand sets the tone of the conversation and the timing of the campaign, the product does not even need to be available for a long time. In a few hours, the stock runs out 'because the desire was already latent”, reinforces.

This new model also favors data intelligence. With the audience warmed up around the launch, brands can test messages, measure engagement and predict results more accurately. All this feeds back into the strategy and makes each new campaign more powerful. As Finch points out, “a well-made launch teaches as much as it sells. It is a behavior lab and a growth accelerator at the same time”.

Metadata: the key to overcoming information chaos

Inon Neves
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Metadata: the key to overcoming information chaos

We are living in an exponential era of data growth: the forecast that by the end of this year the volume of digital data in the world will reach 175 zettabytes. This dizzying increase in the volume of information has generated a real informational chaos in companies, where critical data is dispersed in diverse systems and disconnected silos. In Brazil, the situation is worrying: employees can spend up to 50% of working time looking for information, losing up to two hours a day in the search for documents that often will never be found.

It is estimated that every 12 seconds at least one document is lost in Brazilian companies, totaling more than 7 thousand documents lost daily. Consequently, professionals waste precious time trying to locate documents in the midst of this disorder. Each document misplaced is not only one less data; it is also a potential financial and legal liability.

A company buried in disorganized digital papers or files risks failing to locate an important voucher or vital contract, and the loss of those records can result in hefty inspection fines or labor indemnities.The data tsunami, if not properly governed, imposes a double cost: it reduces daily efficiency and increases exposure to compliance risks.

Classification by metadata: how to put order in chaos

To overcome the informational chaos, it is not enough to store data in the cloud or buy more physical storage & IT is necessary to organize information intelligently. This is where metadata comes in. Metadata is often defined as “data on the” data, that is, descriptive information we assign to a document or record to identify and categorize it.

Metadata works like the” label of a file, describing its content without the need to read it completely. Common examples include: title, author, date of creation, keywords, document category (contract, invoice, email, etc.), level of confidentiality, among other attributes.

Implementing a classification plan and cataloging documents based on metadata is critical to restore order amid the explosion of information. Instead of relying only on chaotic shared folders or the memory of each employee about “where he saved that” file, the metadata-driven organization creates a structured catalog of the company's informational collection. Each document happens to have a kind of digital” identity sheet. This brings visibility and context: the team knows exactly what type of information each file is and where it is, dramatically reducing the time spent on manual searches.

In addition to speed, accuracy in information retrieval increases. Metadata eliminates the ambiguity of systems based only on file or folder names. Even if a document has been saved in the wrong place or with an unintuitive name, its metadata allows information to be found by the registered characteristics. This breaks data silos within the company: content previously isolated in distinct departments or applications can be unified virtually via common metadata.

Productivity and compliance: benefits of metadata policies

The adoption of robust metadata policies brings concrete gains in both operational efficiency and compliance. From the point of view of internal productivity, the improvement is tangible: with properly classified and indexed documents, employees stop looking for needles in the straw” and start accessing what they need almost immediately.

With good metadata management, this time is saved, allowing teams to focus on analysis and decision making, rather than mining lost data. Not by chance, companies that invest in information management report significant gains: there are cases of reduction of 95% in the time spent to answer questions of internal or external audits after implementing intelligent search systems and document organization.

Regarding audits and legal requirements, the difference between having or not having well-structured metadata is huge. Companies that do not know exactly where their critical data are stored are at a disadvantage & unfortunately many are in this situation. Another survey by Gartner, in 2023 “Metadata Management in the Digital Age” 60% of the organizations that participated in the survey admitted not knowing where essential information for the business is.

This poses a serious risk when it comes to audits, inspections or lawsuits. Imagine a company in front of an auditor requesting all emails and reports related to a particular contract or transaction from the last five years. Without a metadata taxonomy, this search can be a logistical nightmare, taking weeks and mobilizing entire departments to scour files.

With well-applied metadata, on the other hand, the company can respond quickly (in a matter of hours ¡ ̄ COMPiling all relevant documents. The traceability offered by metadata allows to quickly locate any record necessary for compliance. This not only avoids fines for non-delivery of information on time, but also reduces bottlenecks during audits, since auditors can verify compliance much more fluidly.

Another important benefit of metadata policies is in information security and data privacy.In an era of frequent leaks and strict regulations, knowing what and where sensitive company data is halfway walked to protect them. Metadata can indicate the level of confidentiality of a document, classifying it, for example, as “Public”, “Internal” or “Restrict/Confidential”.

They can also identify if a file contains sensitive personal data (LGPD). The LGPD requires control over all personal data processed by the organization, including the ability to locate, classify and, if necessary, delete this data upon request. Without this, complying with obligations of the LGPD becomes impractical. For example, if a customer asks to be forgotten (right of deletion), the company needs to identify all systems and documents where data is contained in it. With appropriate metadata, this scan is efficient; without them, the request may go unnoticed in some file, generating legal risks.

Metadata management technologies: ECM, automation and AI

To reap all these benefits, it is necessary to have the right technologies that enable effective metadata management. One of the pillars of this infrastructure is ECM (Enterprise Content Management), or Enterprise Content Management. ECM solutions offer centralized repositories in which documents are stored together with their metadata. Unlike a simple file folder, an ECM allows you to define metadata models, categorization policies and retention rules, integrating all this into company workflows.

Thus, when a document is inserted into the system, the ECM already requests the classification information DO or even fills them out automatically, ensuring that nothing goes without a label. This continuous integration prevents the taxonomy from becoming obsolete or inconsistent as the data evolves.

Another way to apply metadata is with the use of RPA (Robotic Process Automation) and artificial intelligence. Repetitive classification and indexing processes that previously fell on users can be automated. For example, RPA robots can capture received documents and, following predefined rules, assign basic metadata such as document type, date, sender, etc. Even more advanced, AI systems with Machine Learning and NLP algorithms (Natural Language Processing) can automatically classify documents by content. Self-classification solutions scan texts and identify patterns (appropriate a document containing a fiscal or RG file that is a certain, a medical grade or a report.

Optical character recognition (OCR) tools combined with AI extract key information from scanned documents and fill in metadata fields without human intervention. The result is an automatic enrichment of the data, making the document collection intelligent from the source. Case studies show that this type of automation in classification accelerates by up to 70% the availability of new data for use by business teams, as well as improving the quality and consistency of information.

Given the current scenario, it is clear that metadata is no longer a technical detail to become a strategic enabler in business information management. If the volume of data is inevitable and tends to grow more than 20% per year globally, the difference between surfing this wave or being submerged by it will be in the ability to organize this data in an agile, reliable and safe way. In a world where data is compared to the new oil, knowing how to classify and find this “ informational oil inside the home is a competitive differential and so much. Thus, investing in robust metadata and overcoming the informational chaos is not only a matter of technical success, but of compliance was to ensure the business that sustains the efficiency and that it was a business.

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