How Altilia can help you bridge the AI skills gap

By altilia on January 18, 2023

The demand for AI-based solutions in the enterprise is ever increasing as more and more companies view artificial intelligence as a solution to automate core business process, driving operational excellence and accelerating digital transformation.

Top-level research from the Artificial Intelligence Observatory of the Polytechnic University of Milan shows that, from a sample of 200 large organizations operating in Italy, 59% have already started executive projects in the AI field, 77% of which are running more than one project in parallel.

According to a recent survey by PwC in US, on a sample of 1000 large organizations, 72% have already integrated or are looking to integrate AI technologies into their operations.

Full-scale deployment

Deloitte’s significant State of AI study found that 79% of business leaders surveyed reported full-scale deployment for three or more types of AI applications – up from 62% in the previous year. And 76% of those leaders expect AI investments to increase in the next year.

But not everything in the AI garden is rosy, particularly for small and medium sized organisations.

There are many challenges affecting the effective use of artificial intelligence which can hinder the ability to tap into its potential and lead to a growing gap between those companies that have the capability and those who do not.

Over two blogs, we will focus on the two big challenges facing organisations planning to use AI – and how Altilia can make the difference.

  1. The AI skills shortage
  2. The complexity of managing Machine Learning Operations

The AI skills shortage

McKinsey’s State of AI 2022 Survey called out the difficulties of hiring AI-related roles, with 78% of respondents citing difficulty with hiring AI data scientists, 72% struggling to hire data architects, 70% ML engineers and 69% data engineers.

Perhaps surprisingly, they state that finding AI hires is perceived as more difficult than three years ago, with 57% saying that the hiring of data engineers is more difficult, 52% for data architects and 48% of ML engineers.

Clearly, demand for top AI talent is outstripping supply.

Among the limiting factors, the skills problem emerges as one of the most relevant. In addition to programming and software development skills, the planning and life-cycle management of an AI project, requires highly specialized skills that are still scarcely available in the labour market.

These technical skills include:

  • Skills needed to identify and prepare datasets that will be used by AI algorithms.
  • Mathematical and statistical skills that enable the solving of complex problems related to AI applications.
  • Skills needed to implement Machine Learning and Deep learning models (e.g., Supervised & Unsupervised Learning techniques).
  • Skills related to data storage infrastructure, cloud services, and integration of AI systems with other enterprise software and applications.

In addition, since AI automation projects are ultimately aimed at boosting operational business processes, it is crucial to create a match between AI skills and all the skills involving the application of specialized domain-specific knowledge, methodologies, and operational techniques for the operation of specific areas, such as Supply Chain, Marketing and Sales.

For this reason, a core challenge is to bridge the gap between technical AI skills and domain-specific competences within companies and bringing core AI skills to figures not traditionally related to engineering and software development.

How can Altilia help to overcome the skills gap challenge?

Altilia prioritizes AI democratization as the core of its approach: for this reason, the Atlilia Intelligent Automation platform is designed to maximize intelligent process automation capabilities while minimizing the complexity of managing AI algorithms for the end user.

  • Thanks to the use of pre-built algorithms, based on transformer models, users can leverage AI capabilities even without the in-depth mathematical and statistical knowledge related to AI applications.
  • Thanks to the use of a no-code visual interface for document annotation and review, users can autonomously prepare the dataset that will be used by AI algorithms, even without the technical skills required to implement machine learning or deep learning models.
  • Altilia’s IPaaS cloud infrastructure, equipped with pre-built software connectors, greatly simplifies software interoperability, and removes the complexity of managing computing resources and data storage.

In addition, the Altilia Intelligent Automation platform is designed for to reduce the learning curve for business-domain experts to understand and apply AI algorithms for business automation.

In fact, the Altilia Labels module for document annotation, allows business-line users to intuitively transfer their knowledge into algorithms, to perfectly fine-tune the solution according to real business and process needs.

The Altilia Reviews module provides a tool to review and validate the results produced by the algorithms, this is a crucial feature to guarantee AI explainability and to allow business-line users to effectively govern the process.

Contact us here to discuss how Altilia can support your organization’s drive for business optimization through AI.

And read our next blog on the challenge of managing ML Ops.

By altilia on January 18, 2023

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Unlocking the Power of Unstructured Data: How AI is Revolutionizing Business Intelligence

In the ever-evolving landscape of digital business, data has become the new currency. Yet, not all data is created equal. While structured data has long been the cornerstone of business analytics, an ocean of unstructured data remains largely hidden. This is where Artificial Intelligence (AI) is making a difference, offering new ways to extract value from this digital goldmine. The Unstructured Data Difficulty Imagine for a moment the volume of information that flows through a modern enterprise: countless emails, social media interactions, customer service calls, images, videos, and documents. This is the realm of unstructured data, and it's growing at an astronomical rate. According to Gartner, a staggering 80% to 90% of data generated and collected by organizations is unstructured, with its volume expanding many times faster than structured data. The challenge lies not just in the volume, but in the nature of this data. Unlike structured data that neatly fits into predefined database fields, unstructured data is a mix of formats and sources. It's the difference between a meticulously organized filing cabinet and a room full of scattered papers, photos, and recordings. This lack of inherent organization has historically made unstructured data a huge challenge for traditional analytics tools. Enter Artificial Intelligence This is where AI emerges as a game-changer. Advanced machine learning algorithms and natural language processing capabilities are enabling businesses to sift through vast quantities of unstructured data, uncovering patterns, insights, and actionable information that were previously hidden from view. Altilia is pioneering this field, offering solutions that transform how businesses handle unstructured data. Altilia's platform represents a leap forward in our ability to extract meaningful information from unstructured documents. It's not just about converting text to digital format; Altilia’s IDP solution can understand context, categorize information, and even make inferences based on the content they process. Solving the Unstructured Data problem Altilia's platform combines various AI technologies to tackle complex document workflows. This innovative approach allows businesses to automate the ingestion and analysis of various document types, extracting relevant information and even flagging potential issues or inconsistencies. What sets Altilia apart is its focus on accessibility and continuous improvement. Their no-code platform democratizes AI technology, making it accessible to users without technical backgrounds. Furthermore, their “human-in-the-loop” continuous learning ensures that the system keeps improving over time, adapting to new document types and evolving business needs. The Power of IDP in Action Imagine a banking institution processing loan applications. Traditionally, this would involve manual review of numerous documents, a time-consuming and subject to errors process. With Altilia's IDP solution, the bank can automate this process, handling a wide range of document formats and integrating seamlessly with existing enterprise systems. This not only speeds up the process but also enhances accuracy and compliance. But the applications go far beyond banking. In the legal sector, Altilia's AI can filter through vast databases of case law, identifying relevant precedents. In customer service, it can analyze call transcripts and chat logs to identify common issues and measure customer sentiment. The possibilities are virtually endless. The Business Impact The impact of these capabilities on business operations and decision-making cannot be overstated. By leveraging Altilia's IDP platform, businesses can: Enhance Efficiency: Automating complex document workflows dramatically reduces manual labor and accelerates decision-making processes. Improve Accuracy: AI-powered document processing minimizes human error, ensuring more reliable data extraction and analysis. Scale Operations: Altilia's platform can handle large volumes of documents efficiently, allowing businesses to scale their operations without proportionally increasing costs. Drive Innovation: By uncovering hidden patterns and correlations in unstructured data, businesses can spark new ideas for products, services, or process improvements. The Road Ahead While the potential of AI in managing unstructured data is immense, implementation requires careful consideration. This is where Altilia's ethical AI practices come into play, ensuring that businesses can harness the power of AI responsibly and sustainably. As we stand on the brink of a new era in data analytics, one thing is clear: the ability to effectively harness unstructured data will be a key differentiator for businesses in the coming years. Altilia's IDP platform is not just a tool for efficiency; it's a gateway to a new world of business intelligence. Conclusion The organizations that can successfully navigate this new landscape - leveraging AI to turn the chaos of unstructured data into a wellspring of actionable insights - will be well-positioned to lead in their respective industries. As the volume and variety of unstructured data continue to grow, so too will the importance of advanced IDP solutions like Altilia's. The future of business intelligence is here, and it's powered by AI. With Altilia's innovative approach to IDP, businesses have a powerful ally in their quest to unlock the full potential of their unstructured data. By embracing these technologies, companies can not only keep pace with the data revolution but stay ahead of the curve, turning information into insight, and insight into action.

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Altilia Recognized as Major Player in Unstructured Intelligent Document Processing Software by IDC

Altilia Recognized as Major Player in Unstructured Intelligent Document Processing Software by IDC

We are thrilled to announce our recognition as a Major Player in the IDC MarketScape for Unstructured Intelligent Document Processing (IDP) software  This recognition highlights our software's ability to streamline business operations by effectively managing complex unstructured document workflows, particularly in sectors like finance and public administration. From the beginning, we have focused on enhancing organizational knowledge management with a solution that processes both structured and unstructured data, acting as a co-assistant to employees. Our Human-in-the-Loop (HITL) AI approach ensures continuous model training and transparency, providing highly accurate and reliable results. With a dedicated team of over 50 professionals, including scientists, researchers, and software engineers, we are committed to democratizing the use of AI to help enterprises automate document-intensive business processes. This acknowledgment by IDC MarketScape reaffirms our position as a leader in the ever-evolving landscape of Intelligent Document Processing technology. Our platform is designed for quick deployment and intuitive workflow design, making it suitable for organizations of all sizes and across various industry verticals looking to implement unstructured IDP.  As we celebrate this recognition, we remain dedicated to shaping the future of document processing by bringing cutting-edge solutions to the forefront of the IDP market. Our goal is to offer organizations unparalleled efficiency, automation, and knowledge management capabilities.   What is Unstructured IDP ? Unstructured Intelligent Document Processing (IDP) refers to a class of software technologies that leverage a combination of traditional and generative AI (GenAI), advanced analytics, and business rules to automate the classification, extraction, analysis, and validation of data from unstructured, semi-structured, and structured document formats. These technologies are designed to handle the high variability, inconsistent formats, and mixed elements (e.g., text, tables, charts) characteristic of unstructured documents, making the data within these documents actionable and integrated into business workflows.   About IDC MarketScape: IDC MarketScape vendor assessment model is designed to provide an overview of the competitive fitness of ICT (information and communications technology) suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor’s position within a given market. IDC MarketScape provides a clear framework in which the product and service offerings, capabilities and strategies, and current and future market success factors of IT and telecommunications vendors can be meaningfully compared. The framework also provides technology buyers with a 360-degree assessment of the strengths and weaknesses of current and prospective vendors.

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AI implications on the workplace | Altilia

AI implications on the workplace

Introduction Artificial Intelligence (AI) is no longer a futuristic concept; it’s a present reality reshaping the modern workplace. Generative AI (GenAI), in particular, holds the promise of augmenting human work by automating routine tasks and enabling employees to focus on more impactful activities. This transformation is supported by recent research from Deloitte, which highlights the profound impact AI can have on workforce dynamics. The Role of GenAI in the Workplace Generative AI (GenAI) refers to advanced algorithms capable of creating content, analyzing data, and automating repetitive tasks. Unlike traditional AI, which makes predictions based on data to perform specific tasks and rules-based decisions, GenAI can generate new content and insights by learning patterns from data, making it a more versatile tool in a wider range of industries and use case applications. Current Applications In recent years, artificial intelligence has evolved into a suite of powerful technologies that offer significant competitive advantages to businesses across various industries. As companies rapidly adopt AI to meet their business objectives and stay ahead of competitors, many are uncertain about the outcomes and the level of acceptance these tools will receive from their employees. While employers are enthusiastic about the opportunities AI presents, the potential impacts on employee experience and trust cannot be overlooked. Benefits of GenAI for Employees Increased Efficiency One of the primary benefits of GenAI is its ability to streamline processes, reducing the time employees spend on repetitive tasks. This increased efficiency allows businesses to achieve more in less time, freeing up resources for strategic initiatives. Focus on High-Impact Tasks With GenAI handling routine tasks, employees can dedicate more time to high-impact activities such as strategic planning, creative problem-solving, and innovation. For instance, customer service representatives can focus on complex queries that require a human touch, while automated systems handle routine inquiries. By automating routine activities such as data entry, report generation, and basic customer service inquiries, GenAI allows businesses to operate more efficiently. GenAI not only accelerates workflows but also minimizes human error, ensuring more consistent and reliable outcomes Case Studies HSBC has leveraged AI to identify potential money laundering activities by analyzing transactional patterns, customer behavior, and risk indicators. This AI-driven approach has enabled the bank to flag suspicious transactions more effectively, reducing the number of alerts that require investigation by over 60% Bank of America has utilized AI to forecast the likelihood of companies defaulting by analyzing diverse data sources, including financial statements, credit histories, and market trends. This AI-powered model has improved the accuracy of lending decisions and enhanced the bank's ability to manage credit risk effectively Trade-offs in the Use of GenAI A recent report of Deloitte points out that while the benefits of GenAI are significant, implementing these systems is not without challenges. Organizations must invest in the necessary infrastructure, train employees to work with AI systems, and manage the change process effectively. 1 - Creative Inspiration vs. Diligence As human beings, we value original thinking to solve problems, to understand each other better, and ultimately to improve our society. Without new ideas, we would settle for the status quo and abandon a core part of our human identity: the pursuit of progress.  AI as an 'idea sparker' could enable employees to create multiple versions of their work in parallel and uncover perspectives they may not have thought of themselves. In the Deloitte’s report, over 69% of executives said they believe AI will improve employee creativity to some extent, with AI sparking new ideas and inspiration that will improve the quality of work. However, there is also a fear that an over-reliance on AI will sacrifice accuracy and thoroughness, with 42% of conversations citing concerns about a decline in work quality. From this place of uncertainty, leaders have an opportunity to redefine creativity in the workplace while maintaining human rigor by setting boundaries for the use of AI. At Altilia, we agree GenAI can be a catalyst to spark new ideas. However, we believe a potential decline in work quality can only be a concern if AI is seen as a replacement for human effort. In our approach, GenAI is meant to complement and assist human work, not to replace it. Successful GenAI implementations should foster a "collaborative" approach, where AI generates intermediate inputs that are meant to be verified, expanded and enhanced by human experts. When used correctly, Generative AI organizes data and information, enabling humans to make informed decisions more efficiently. This partnership enhances work quality and fosters an environment where creativity and diligence thrive. 2 - Efficiency vs. Inclusivity Businesses are eager to leverage AI to expedite routine tasks and remove the administrative burden for their employees. While leaders are optimistic about efficiency gains, nearly a third of conversations cited in the report concern the bias and inclusion challenges of AI, suggesting that the risk of further embedding systemic bias tempers their excitement. Biases emerge wherever humans go. Unchecked, our narrow reference of personal experience will build unconscious bias into everything we create. Given AI’s pace of evolution and “black box” decisioning processes, leaders are concerned that AI will entrench existing biases with no opportunity to reroute: To mitigate the risk of bias, Businesses should focus on empowering employees to effectively use AI and identify bias while also promoting open dialogue on how AI is used within their organizations. Secondly, there is a need for transparency and trustworthiness in the AI output. This can be translated in the concept of "explainability"—the ability for end users to understand how and why an AI model generated a particular response. Explainability enables the implementation of human oversight mechanisms to verify the correctness and impartiality of AI outputs. Therefore, ensuring explainability should be a primary driver in the design of GenAI-based applications. In the context of Intelligent Document Processing, where Altilia operates, we achieve explainability by allowing users to easily trace back to the sources of information underpinning the AI model's responses. This approach ensures that users can trust the outputs and maintain control over the decision-making process, ultimately enhancing both the reliability and the acceptance of GenAI solutions in the workplace. 3 - Personalization vs. Data Privacy GenAI enables highly personalized experiences for customers and employees by analyzing vast amounts of data to tailor interactions and recommendations. However, this level of personalization often requires extensive data collection, raising concerns about data privacy and the potential misuse of sensitive information.  At Altilia, we prioritize data privacy by ensuring our AI models operate within a closed and protected environment. This means that the data used is fully compliant with data processing regulations, as it is not accessed or shared through third-party APIs. Our approach guarantees that both input and output data remain within the company's control, avoiding the risk of customer data being processed by external entities (for example 3rd API-based GenAI services like OpenAI.) This closed environment enhances compliance with various data protection regulations and ensures that only company-generated data is used. By relying solely on internal data, our models deliver more accurate and consistent responses, further strengthening data security and regulatory adherence. Future Outlook  The workplace implications of AI are profound, offering both opportunities and challenges. GenAI has the potential to enhance productivity, allowing employees to concentrate on high-impact tasks. According to the Deloitte report, AI integration in the workplace will continue to grow, with more businesses adopting GenAI to stay competitive. This trend will likely lead to new job roles focused on managing and enhancing AI systems. At Altilia, we believe that successful AI applications in the near future will not only focus on efficiency and process automation but also on enriching companies' informational assets and stimulating creativity. We see GenAI as an assistant that increasingly supports knowledge workers by taking on more operational roles, such as information reprocessing and synthesis. Meanwhile, human knowledge workers will remain at the forefront of decision-making and strategic activities. This collaborative relationship will help companies build greater trust and exercise more control over AI-enhanced processes, while also making it easier for the workforce to accept GenAI as an opportunity rather than a threat. By positioning AI as a supportive tool, we can foster an environment where AI drives innovation and efficiency, ultimately leading to more dynamic and successful business operations. 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 journey together, unlocking the potential of GenAI to bring your business into the future.

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