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The Current State of Generative AI: Insights and Implications

By altilia on May 27, 2024
Generative AI (GenAI) has rapidly evolved from a futuristic concept to a transformative technology with significant implications across various industries. From automating complex workflows to creating new content, GenAI’s capabilities are expanding, promising to enhance productivity and drive economic growth. This article explores the current state of GenAI, its economic potential, and the hype surrounding it, providing a comprehensive view of its future prospects and the implications for businesses.

The Rise of Generative AI

Generative AI refers to a class of artificial intelligence systems capable of creating new content, such as text, images, and even music, based on input data. Unlike traditional AI models designed for specific tasks, GenAI systems learn patterns from vast datasets to generate original outputs. This versatility makes GenAI a powerful tool in various applications, from content creation to complex problem-solving.

The State of AI: Current Capabilities and Limitations

The current state of AI is marked by rapid advancements and expanding capabilities, particularly in generative AI. In 2023, global private investment in AI, especially generative AI, reached unprecedented levels. The U.S. led with $67.2 billion in investments, demonstrating its dominant position in the AI landscape. This surge was driven by significant interest in GenAI, which alone attracted $25.2 billion, nearly nine times the investment of the previous year​ (Stanford HAI)​.

AI technologies, including GenAI, have shown remarkable abilities in natural language processing, image recognition, and automated decision-making. These advancements have led to significant improvements in industries ranging from healthcare to finance. For instance, generative AI has been successfully integrated into various applications, enhancing productivity and driving economic growth across sectors​.

However, there are still several challenges that need to be addressed. One major limitation is the explainability of AI systems. Many AI models, especially deep learning ones, operate as “black boxes,” making it difficult to understand how they arrive at specific decisions. This lack of transparency can be problematic in critical applications, such as lending decisions or criminal justice, where understanding the rationale behind an AI’s decision is crucial.

Another significant challenge is the potential for bias in AI systems. Since AI models learn from existing data, they can inadvertently perpetuate and even amplify biases present in the training data. Ensuring fairness and mitigating bias in AI outputs is an ongoing area of research and development.

Additionally, the computational demands of AI, particularly the need for powerful hardware like GPUs, can be a barrier for widespread adoption. According to AI Index estimates, the training costs of state-of-the-art AI models have reached unprecedented levels. OpenAI’s GPT-4 used an estimated $78 million worth of compute to train, while Google’s Gemini Ultra cost $191 million for compute. As the demand for AI capabilities grows, so does the pressure on hardware resources and amount of new data to train more advanced models, leading to higher costs and potential bottlenecks in development and deployment.

Navigating the Hype

Generative AI is currently at the peak of inflated expectations, attracting significant attention and investment. In 2023, investment in generative AI reached $25.2 billion, more than 9 times the amount invested in the previous year ($2.85 billion) and almost 30 times the amount invested in 2019 ($0.84 billion). This growth is driven by advancements in AI models, infrastructure, and AI-enabled applications across various sectors. (Stanford HAI)

This phase highlights the excitement surrounding the technology but also suggests that there may be a period of disillusionment before GenAI reaches its full potential. The concept of the Hype Cycle helps us understand this journey: initially, new technologies often experience a surge of enthusiasm and inflated expectations, followed by a trough of disillusionment as challenges and limitations become apparent. Eventually, as the technology matures and its true potential is realized, it enters a phase of enlightenment and stable productivity.

Gartner’s analysis suggests that GenAI will reach maturity in 5 to 10 years, indicating that we are now at the peak of expectations. This timeline underscores the importance of managing expectations and preparing for the inevitable challenges that come with integrating new technologies. Understanding the current capabilities and limitations of AI, particularly generative AI, is crucial for navigating this landscape effectively and leveraging its potential for long-term benefits​.

The Importance of Employee Education in AI Integration

As new GenAI applications continue to be released and new AI capabilities are implemented in existing applications, businesses will increasingly need to integrate Generative AI into their workflows, so it’s vital that employees are well trained to use these advanced technologies effectively. Educating employees about AI not only enhances their understanding and acceptance but also maximizes the benefits of AI integration. Proper training helps employees understand how to leverage AI tools to improve their productivity, make data-driven decisions, and automate routine tasks. This leads to a more efficient workflow, reduced operational costs, and a competitive edge in the market. Moreover, continuous education and upskilling initiatives foster a culture of innovation and adaptability, preparing the workforce to keep pace with rapid technological advancements. 

At Altilia, we prioritize user-friendly solutions and comprehensive training programs to empower our clients to fully harness the power of GenAI in their operations. Our goal is to create solutions that are user-friendly and accessible even to “line-of-business” users—those who are experts in their business domain but may not have specific technical training in IT and machine learning. This approach enables even less structured companies in the AI field, which might lack in-house expertise for developing and maintaining models, to fully exploit the potential of GenAI​​ without the need of investing a huge amount in new know-how or softwares.

Generative AI in the Finance and Banking Sector: Applications and Altilia’s Solutions

Generative AI holds significant promise for the finance and banking industry, offering numerous applications that can support the work of consultants and transform operations, enhance customer experiences, and ensure compliance. Here’s a look at the key applications of GenAI in this sector and how Altilia’s solutions align with these opportunities:

  1.  Automated customer service: GenAI-powered chatbots and virtual assistants can handle customer queries, manage accounts and provide financial advice, improving customer service efficiency and satisfaction 24/7. Altilia’s GenAI-powered virtual assistants deliver accurate, personalised responses to a wide range of customer queries, improving service levels while reducing operational costs. At the same time, Altilia’s solution supports employees in answering questions about documents and data.
  2. Due Diligence, Regulatory and Compliance:  Altilia’s solution , powered by GenAI, can support financial institutions in various regulatory and compliance activities. Here are some examples:
    1. Review of Financial Statements: Analyzing balance sheets, income statements, and cash flow statements to assess financial health.
    2. Know Your Customer (KYC) Procedures: Verifying the identity of clients and assessing the potential risks of illegal intentions.
    3. Regulatory Reporting: Preparing and submitting reports required by regulatory bodies such as the SEC, FINRA, or the FCA.
    4. Audit and Inspection Readiness: Maintaining readiness for audits and inspections by regulatory agencies.
    5. Assessment of Internal Controls: Evaluating the effectiveness of internal controls related to financial reporting and operational processes.
    6. Anti-Money Laundering (AML) Compliance: Ensuring adherence to AML regulations through transaction monitoring and reporting suspicious activities.
    7. Risk Management Processes: Examining the systems in place to identify, measure, monitor, and control various risks (credit, market, operational, etc.).
  1. Document Processing and Analysis: GenAI can automate the processing and analysis of various financial documents, such as loan applications, financial statements, and compliance reports, improving accuracy and speed. For example, banks handle thousands of loan and mortgage applications daily, a process that is time-consuming and error-prone due to manual data entry. Altilia’s platform automates document classification and data extraction, feeding this information into systems to support credit scoring. This reduces processing time by 80% and results in cuts of manual effort by over 80%.
  2. Personalized Financial Services: GenAI can analyze customer data to offer personalized financial advice and services, such as tailored investment recommendations, savings plans, and credit risk assessments. Altilia leverages GenAI to deliver customized financial services, analyzing individual customer data to provide personalized advice and solutions, thereby enhancing customer engagement and satisfaction.

By addressing these critical areas, Altilia’s GenAI-powered solutions help financial institutions streamline operations, enhance security, comply with regulations, and deliver personalized services, driving growth and innovation in the industry

Conclusion

Generative AI is at the forefront of technological innovation, with the potential to transform industries and drive economic growth. By understanding its capabilities, addressing challenges, and adopting ethical practices, businesses can harness the power of GenAI to stay competitive and innovative. At Altilia, we are committed to leveraging GenAI to enhance document processing and deliver value to our clients.

If you’re eager to find a solution for your business to streamline processes, reduce the time spent on tasks, and drive growth, we’re here to guide you through every step. Book a free consultation with an Altilia expert today, and let’s embark on this transformative journey together, unlocking the potential of GenAI to propel your business into the future

By altilia on May 27, 2024

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Why your business needs more than a general purpose AI

Why your business needs more than a general purpose AI

Overcoming the biggest challenges in intelligent document processing We've all been there: urgently uploading a complex document to ChatGPT or another general purpose AI solution, hoping for that magical moment of instant understanding. You paste in a financial report, a lengthy contract, or a multi-page compliance document, and wait with anticipation. The response comes back - and can I trust this answer? Sure, these tools might summarize a few points or extract basic details, but can they guarantee the accuracy and completeness of the analysis? And when you're handling high-stakes documents like contracts or compliance reports, where even a single overlooked clause or misinterpreted detail could lead to serious consequences, "good enough" simply doesn’t cut it. Most GenAI tools today are like eager but inexperienced junior assistants. They'll give you a quick overview, highlight a few things, but miss the connections that an experienced professional would catch. They'll read a loan application, but might overlook that crucial footnote that changes everything. They'll scan a compliance document, but could miss the intricate relationships between different sections that truly tell the full story. For businesses handling critical documents day in and day out, relying on "probably correct" results is a risk you can't afford. What you need is a solution that doesn't just glance at the words but truly understands the context, the relationships, and the implications within your documents. A solution like Altilia, designed to not only extract data but to deliver comprehensive insights with the precision and reliability you can trust. The daily struggle with documents General purpose GenAI apps face three key challenges when processing documents that either effect the accuracy in the scanning of the document, the efficiency in the elaboration of the info or doesn’t adapt effectively to the complexity of the multitude layout of different documents: The context problem Imagine evaluating a customer's creditworthiness by examining individual transactions in isolation, without piecing together their full financial story. Traditional GenAI tools often work this way, fragmenting documents into smaller sections and processing them independently. This approach overlooks the critical connections between sections, like how repayment terms align with income statements or how hidden clauses in one part of a document might contradict terms in another. For financial documents where every detail matters, this lack of contextual understanding can result in costly errors—such as misjudging a customer’s true ability to repay a loan or missing compliance risks buried in the fine print. Accurate decision-making demands a solution that understands the full picture, not just isolated fragments. The structure challenge Most GenAI apps read documents sequentially, like a straight line of text, missing the crucial hierarchy and organization that gives financial documents their meaning. Imagine reading a financial statement without distinguishing between headers, footnotes, and main entries - that's essentially what happens when GenAI ignores document structure. The connection gap In financial documents, information often relies on definitions or conditions stated elsewhere in the document. General purpose GenAI struggles to make these connections, potentially missing critical dependencies in complex financial agreements or regulatory documents. How Altilia transforms document processing The Altilia platform collects, processes, and centralizes all kinds of data, both structured and unstructured. It automates complex business processes and provides advanced knowledge management tools. It uses integrated AI technologies to add value through automation, synthesis, and content generation. Here's how it works: Step 1: Document intake The platform accepts any document your financial institution handles. This includes scanned loan applications, pptx, xls, and digital compliance reports. It's like having a universal document translator at your disposal. Step 2: Smart processing pipeline This is where the magic happens. The platform processes documents through four key stages: First, it reads all text, even from scanned documents which is the most challenging format for the general purpose AI tools due to the quality of the scan. Then, it maps the document's structure. It understands how its parts relate (header, paragraph, notes, etc.). It's like creating a detailed outline of a complex financial report. Next, it builds a complete understanding of the document's structure. It's like creating a map of where the information is. Finally, it analyzes any charts, graphs, or images, ensuring no information is missed Step 3: Knowledge creation All this information goes into the business’ knowledge base. Here, documents are organized, linked, and made available. Every employee can access the needed information. However, not everyone should see everything. So, we can create different access levels for each employee. Step 4: Practical application This is where businesses can get advantage of Altilia’s platform to make the next step into the automation of their workflow. Automated processing: The system can automatically handle routine document tasks, like processing loan applications or checking compliance. It will report the client's credit score and a summary of the key points in their financial records. Smart assistance: AI-powered tools help staff quickly find and use information across the business's entire knowledge base. By simply typing a question, such as "Who is the financial advisor of company XYZ?", the search function can rapidly locate the information. Custom automation: Create specialized workflows for your specific needs, no technical expertise required. Real benefits for financial institutions This approach transforms daily operations in several ways. Here some examples: Faster processing: What used to take hours of manual document review can now be completed in minutes Better accuracy: With a comprehensive understanding of every document, your team catches critical details that might have been overlooked before Enhanced compliance: The system helps ensure regulatory requirements are met consistently Improved decision-making: With better access to information, your team can make more informed decisions quickly Making it work in your business The best part about Altilia's solution is how easily it fits into your existing operations: No technical expertise needed: The platform is designed to be used by financial professionals, not tech experts Seamless integration: It works alongside your existing systems without disrupting current processes Scalable solution: Whether you're processing hundreds or thousands of documents, the platform grows with your needs Beyond traditional document processing While most GenAI platforms struggle with document complexity, Altilia offers a fresh approach to information processing. Traditional platforms treat documents as separate fragments, reading text mechanically and missing critical connections. They also require extensive technical expertise to customize. Altilia completely transforms this approach. It creates a comprehensive, intelligent map of each document instead of fragmenting information. This is like having a super-smart analyst who not only reads text but also truly understands its intricate relationships, structure, and context. Unlike general purpose solutions, which see isolated data, Altilia sees a living network of knowledge. It preserves document hierarchies, enables real-time cross-referencing, and turns unstructured information into actionable insights. Unlike traditional solutions that demand complex technical skills, Altilia provides a no-code, user-friendly environment that any business professional can navigate. In essence, Altilia is not just processing documents - it's reimagining how businesses understand and leverage their information. It's not about faster data extraction, but about generating deeper, more intelligent insights.

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Why One Size Doesn't Fit All in Business Automation

Why One Size Doesn't Fit All in Business Automation

Imagine you need to renovate an apartment. You've got your trusty hammer in the toolbox, and it's served you well for hanging pictures and minor repairs. But now you need to fix a leaky pipe, repaint the living room, and rewire an electrical outlet. Suddenly, that reliable hammer seems completely inadequate. You quickly realize that to tackle these diverse tasks, you need a variety of specialized tools – a wrench for the pipe, brushes for painting, and a voltage tester for the wiring job. Don’t worry, Altilia is not rebranding itself as a DIY startup, but this scenario perfectly illustrates the current state of AI in business. Many companies, eager to exploit the power of AI, are reaching for a single, all-purpose AI solution, much like grabbing that trusty hammer for every home repair. They're turning to impressive, general-purpose AI models like GPT4 or Claude, expecting these tools to solve all their business challenges. While these models are undoubtedly powerful and versatile, they're not optimized for every specific business need. The limits of a universal AI agent of the Universal AI Agent GPT4 and Claude, developed by OpenAI and Anthropic respectively, are remarkable achievements in natural language processing. They can generate human-like text, answer questions, and even assist with simple coding tasks. Many businesses have integrated these models into their operations, using them for customer service chatbots, or general data analysis. However, these general AI models have limitations when it comes to understanding specialized business-domain information. For instance, a financial institution using GPT4 for customer inquiries might find it struggles with industry-specific terminology or regulations or to retrieve correctly the info from documents. The reality is that while these general AI models are impressive, they're not designed to handle the diverse and specific challenges that different businesses face. Each industry, each company, has its own unique processes, data types, and objectives. A one-size-fits-all AI agent often falls short in understanding these nuances. The Advantage of Specialized AI Agents This is where specialized AI agents come into play. By focusing on specific tasks, these agents can befine-tuned to understand the unique nuances and technicalities of your own organization and/or industry, work with your unique data formats, and align with each of your particular business processes’.  The result? Greater accuracy, improved efficiency, and better integration with your existing workflows. By focusing on creating multiple, specialized AI agents rather than relying on a single, generic solution, businesses can: Address specific challenges more effectively, improving problem-solving capabilities Improve accuracy in task completion, reducing errors and enhancing quality Enhance efficiency in specialized processes, saving time and resources Better integrate AI with existing workflows, minimizing disruption and maximizing adoption Maintain their unique competitive edge by leveraging AI in ways specific to your own business model This specialization allows businesses to use AI not just as a general tool, but as a set of expert assistants, each trained in a specific area of the business. It's the difference between having a general handyman and a team of specialized craftsmen – each brings expert knowledge to their specific domain.   None knows your business better than you do While AI technology itself can be replicated, the real competitive advantage lies in how that technology is applied to your specific business context. Altilia helps you build a lasting competitive advantage by creating custom AI agents that integrate perfectly with your unique business processes. Think of it as your personal AI factory, producing solutions specifically tailored to your company's operations and needs How Altilia improves business’s workflow Altilia's platform offers two main features that optimize work and data management by leveraging information from diverse sources scattered throughout the entire business knowledge ecosystem: AI Assistants for Employees: These intelligent co-pilots are optimized for your company's specific needs, drawing insights from a vast array of sources. Unlike general AI models, these assistants are trained on your company's data repository, including documents, databases, and digital assets spread across various departments and systems (e.g. mails, CRM databases, Google Drive, …). They assist your staff in their daily tasks by providing a unified view of the information they are looking for, enhancing productivity and decision-making. For example, in a customer service context, these assistants could instantly access and synthesize information from product manuals, internal wikis, customer interaction logs, and even email threads to provide representatives with holistic, context-aware solutions tailored to your specific offerings and policies. AI Robots for Process Automation: AI Robots automate processes that would otherwise be done manually by processing data from multiple sources across your organization. For instance, in a legal firm, an AI robot could be set up to automatically analyze incoming legal documents via mail while cross-referencing them with historical case files, legal databases, and regulatory updates scattered across various systems. It can then categorize cases, extract key information, identify precedents from past cases stored in different repositories, and even generate draft responses by combining relevant information from multiple sources. This level of intelligent automation goes far beyond what a general AI model could offer, as it's specifically designed to understand, integrate, and work with diverse legal documents and processes spread throughout the organization's knowledge base. Why choose Altilia's Smart Knowledge Base? Simplifying Custom AI Creation: we all know that good data is the key for a quality output. That’s why Altilia's platform makes your company data "AI-ready" through a sophisticated process. This includes OCR (Optical Character Recognition) analysis for document scanning and layout processing. By preparing your data in this way, Altilia ensures that it's in a format that's easily interpretable by AI agents. This is crucial for businesses dealing with large volumes of unstructured data, such as scanned documents or handwritten notes. Integrated Development Environment: The platform offers a simplified environment to develop AI applications that fit your specific knowledge needs and data types. This environment is designed to be user-friendly, allowing even those without extensive IT expertise to participate in the development process. You have the flexibility to create these AI agents yourself or have Altilia's experts create them for you, ensuring that the resulting agents are perfectly aligned with your business objectives. Adaptability: Unlike off-the-shelf solutions, Altilia's platform works with your specific data types, understands and fits your unique processes, and can be continuously refined to meet evolving business needs. This adaptability ensures that your AI solutions grow and evolve with your business, rather than constraining your processes to fit a generic AI model.   Conclusion As we return to our home improvement analogy, it's clear that just as a well-equipped toolbox is essential for tackling diverse home repairs, a suite of specialized AI agents is crucial for addressing varied business challenges. The one-size-fits-all approach, while tempting in its simplicity, often falls short in delivering the specific solutions that businesses really need. In the race to adopt AI, it's crucial to remember that true power comes from specialization and customization. While general AI models like GPT4 and Claude have their place, they shouldn't be seen as the end-all solution for business AI needs. Instead, they should be viewed as starting points – impressive technologies that demonstrate the potential of AI, but which need to be refined and specialized to truly transform business operations. Altilia's platform empowers businesses to move beyond generic solutions and create AI agents that truly understand and enhance their processes. As you consider integrating AI into your business, think beyond the one-tool approach. Consider how specialized AI agents could improve specific areas of your operations, much like how a particular tool can be used in renovating an apartment. Altilia makes it easy to create AI tailored to your needs. It's time to move beyond the myth of the universal AI agent and embrace the potential of specialized AI solutions.

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How to leverage unstructured data with AI

Introduction In today's digital landscape, businesses are drowning in data, but starving for insights. Gartner reports that 90% of new enterprise data is unstructured, growing three times faster than structured data. Yet, a 2019 Deloitte survey found only 18% of organizations effectively leverage these information. For the financial sector, transforming unstructured data laying in legal contracts into actionable insights is a complex and costly work that requires highly specialized analysts to organize data into user-friendly graphs. But is this the only available solution?  Altilia's smart Knowledge Base solution offers a powerful answer. Our platform tackles the unstructured data challenge, turning the information into a competitive advantage. Whether you're an accountant juggling diverse client information or a financial analyst reading countless contracts, Altilia's smart knowledge base could be the key to unlocking your data's true potential. Join us as we explore how Altilia's solution can help you harness the power of unstructured data, streamline processes, and drive informed decision-making in an increasingly data-driven world.   Introducing Altilia's Smart Knowledge Base Altilia's Smart Knowledge Base is our answer to the unstructured data problem. It's a powerful tool that turns messy, scattered information into useful, organized knowledge. But, what is a smart knowledge base? Think of it as an intelligent digital library. Unlike a regular database that just stores information, a smart knowledge base can understand, organize, and even use the information it contains. Therefore, the library not only stores everything you upload, but also makes connections between different pieces of information, answers your questions, and even helps you make decisions. That's what makes it "smart" – it doesn't just hold knowledge, it actively helps you use it. How is Altilia's solution different from other solutions?  Gathers All Your Data: Our system collects information from many different places. It doesn't matter if it's scanned papers, emails, or database entries - our platform brings it all together in one place. Understands Your Information: Our AI doesn't just read your data, it understands it. It can make sense of complex documents, pull out important details, and even grasp context and subtle meanings. Easy to Use: You don't need to be an AI expert to use our platform. We've made it simple. There's a search bar to find information quickly, and you can ask questions in your native language. Works Automatically: Once the setup of a workflow is completed, our system can do complex tasks on its own. It can take the new documents that have been uploaded, extract information from them, and even create detailed reports without the need to personally go through each step.  Trustworthy: We know the quality of the result is important, especially when writing a report or a legal document. That's why our system can show you how it reached its conclusions. This is crucial for businesses that need to follow strict rules. By combining these features, Altilia's Smart Knowledge Base changes how you use your data. It's not just about storing information - it's about making that information work for you. It helps you gain insights, work more efficiently, and make better decisions across your entire organization.   The Financial Analyst's Challenge Meet Sarah, a seasoned financial analyst working for a large investment firm. Sarah's job involves analyzing complex reports from rating agencies to guide investment decisions. Let's see how Altilia's Smart Knowledge Base transforms her workflow and solves her data analysis dilemma. Sarah's Typical Day Before Altilia: Information Overload: Sarah receives a comprehensive report from a major rating agency: A 200-page PDF document with text, tables, and graphs Supplementary data in spreadsheets Some reports are inside data silos, making difficult to retrieve the correct information Related news articles and press releases Time-Consuming Analysis: Sarah spends days: Manually reading through the lengthy report Copying data from PDFs into spreadsheets for analysis Cross-referencing information with past reports and news Risk of Oversight: With so much information to process: Important details might be missed It's challenging to spot trends across multiple reports Connecting related information from different sources is difficult Delayed Insights: Because the analysis takes so long, Sarah often struggles to provide timely investment recommendations to her team. Sarah's Transformed Workflow with Altilia: Centralized Information: All the information, regardless of its original format, is now in one place: The PDF report is automatically processed and its content extracted Spreadsheet data is integrated into the system Relevant news and press releases are collected and linked Automated Information Extraction: Altilia's AI does the heavy lifting: Automatically reads and understands the entire report Extracts key data points, trends, and risk assessments Organizes all information into a structured, easily searchable format Intelligent Search: Sarah can now find any piece of information in seconds: Uses natural language queries like "Show me all companies with a credit rating downgrade in the last quarter" The system understands context, finding related information even if it's not explicitly mentioned Automated Analysis: The platform generates insights automatically: Compares current ratings with historical data Identifies trends and anomalies in the agency's assessments Creates visualizations of key financial indicators Enhanced Accuracy: With AI-powered analysis, the risk of oversight is significantly reduced: The system cross-references information from different sections and sources Any unusual data points or discrepancies are flagged for human review Sarah can always double check the results proposed by the AI Agent and the resources used. Faster Insights: Sarah now spends less time on data processing and more on high-level analysis: Quickly identifies key trends and potential investment opportunities Provides more timely and comprehensive recommendations to her team The Result: With Altilia's Smart Knowledge Base, Sarah transforms from a data processor into a strategic advisor. She can analyze reports more thoroughly, provide faster insights, and add more value to her firm's investment decisions. The investment firm benefits from more timely, accurate, and insightful financial analysis, helping them make better investment choices in a fast-paced market.   What's Next for Unstructured Data? The world of data is changing fast, and unstructured data is leading the charge. So, what's coming next? Here's our insights into the future: Smarter AI: Imagine AI that can understand data like a human, but faster and without getting tired. That's where we're heading and we are working on an AI that can make sense of even the trickiest information. Speed is Key: In the future, waiting for answers will be old news. We're moving towards systems that can give you insights right away, as soon as new data comes in. Keeping Data Safe: As we use more data, keeping it safe becomes super important. Future systems will need to be like a fortress for your information, while still making it easy for you to use. Data for Everyone: You shouldn't need a PhD to understand your data. We're working towards a world where anyone can ask questions and get answers from their data, as easily as using a search engine. Contrary to what it might look like, the future of data is exciting, and a bit wild. There will be more data than ever, coming from places we can't even imagine yet. But with the right tools, like Altilia's Smart Knowledge Base, you won't just keep up – you'll be ahead of the game. Ready to step into the future of data management? Let's turn your data challenges into your biggest strengths, today and tomorrow. Book a call with our experts to explore how Altilia’s smart knowledge base might fit your business.

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