The secret to AI and Fit-for-Purpose Technologies for Government Services
Presented at the 2025 DigiGov Workshop at the National Engineering Center, UP Diliman This article is based on a presentation delivered during the DigiGov Workshop: Citizen-Centric Digital Government Transformation through Fit-for-Purpose Digital Platforms, held from May 5 to 7, 2025, at the National Engineering Center, University of the Philippines, Diliman. Download the Presentation in PPT format About the Workshop Governments worldwide are accelerating their digital transformation journeys to improve service delivery, ensure transparency, and enhance operational efficiency. Central to this movement is a citizen-centric approach—a model that ensures digital initiatives respond to the real needs, expectations, and lived experiences of the public. This strategy is strengthened through the use of platform-based digital models, which promote interoperability, data sharing, and the adoption of fit-for-purpose innovations across government institutions. The DigiGov Workshop aimed to equip key decision-makers from executive departments, GOCCs, LGUs, and SUCs with the skills to craft a sustainable digitalization roadmap aligned with national priorities. It also focused on government procurement best practices, AI integration, and building resilient systems to enable inclusive and secure digital transformation. Redefining Digital Infrastructure Through Fit-for-Purpose Design In a landscape dominated by fast-evolving technology, government institutions must be cautious not to conflate innovation with complexity. The concept of fit-for-purpose technology challenges the notion that cutting-edge solutions are always better. Instead, it emphasizes relevance, efficiency, and long-term sustainability. A fit-for-purpose system is built to address specific problems using tools and methods best aligned with the actual requirements of the organization. Rather than defaulting to over-engineered or trendy solutions, it calls for a thoughtful balance between functionality, cost, and user experience. Whether the approach is fully custom-built or incorporates configurable commercial platforms, the end goal is the same: simplify processes, enhance accountability, and improve public service delivery. Equally important is the choice of infrastructure model—on-premise, cloud-based, or hybrid. This decision must be informed by institutional needs, including data sensitivity, security, budget, and capacity to maintain and scale digital solutions. The Role of Artificial Intelligence in Fit-for-Purpose Systems Artificial Intelligence (AI) has emerged as a cornerstone of modern digital transformation. When integrated into fit-for-purpose systems, AI enhances capacity not by adding complexity but by streamlining functionality. AI plays several roles: By embedding these capabilities into digital systems, government agencies can increase efficiency, accuracy, and responsiveness without sacrificing control or data integrity. Case Studies from the Field The presentation showcased several successful applications of AI-powered, fit-for-purpose technologies across Philippine government and public sector institutions: Building Systems That Serve, Not Overwhelm Digital transformation is not about deploying the most sophisticated tools available, but about making smart, sustainable, and contextually aware choices. Fit-for-purpose technologies, especially when enhanced by AI, allow government agencies to move beyond static digital adoption and into an era of responsive, inclusive, and interoperable systems. The experiences shared at the 2025 DigiGov Workshop underscore the importance of user-centered design, platform-based governance, and intentional use of emerging technologies. By focusing on actual needs, rather than aspirational technology trends, public institutions can achieve meaningful transformation that delivers real value to citizens and communities. For more information contact EACOMM Corporation at info@eacomm.com.
Generative Edge AI: The next frontier for AI Tech
Generative Edge AI’s Arrival An interesting crossroad is currently being crossed in Information Technology where computer, smartphone, and tablet hardware are becoming more and more powerful and at the same time, Generative AI algorithms, that previously needed multiple, powerful servers to run, are becoming more resource-efficient. Famously, China’s DeepSeek purportedly matches or even outshines OpenAI’s GPT models and was done at a fraction of the hardware resources. Already available are smaller versions of large language models (LLMs) that can be deployed on desktops, smartphones, and even single-board computers like Raspberry Pi. As these technologies improve, instead of having dependency on a cloud-based AI model, software applications will start having their own embedded generative AI models that will run independently of the cloud. This article will explore the potential that these solutions can provide. What is Edge AI? Edge AI refers to artificial intelligence models and algorithms that run on local devices rather than relying on cloud-based processing. This paradigm shift allows AI to function closer to the source of data generation, reducing latency, enhancing privacy, and improving real-time decision-making. Edge AI has been around for several years, with applications in various fields such as surveillance cameras with license plate recognition, AI-assisted driving, industrial automation, and healthcare wearables that analyze biometric signals in realtime. The core advantage of Edge AI is its ability to function independently of internet connectivity, making it suitable for critical applications that require low-latency responses and high reliability. Moreover, as hardware capabilities continue to improve, the scope of Edge AI applications is expanding, paving the way for a new frontier: Generative Edge AI. What is Generative Edge AI? Generative Edge AI is the integration of generative AI models with edge computing devices, enabling local devices to create content, synthesize information, and generate human-like text, images, code, or audio without the need for continuous cloud access. Unlike traditional Edge AI, which is primarily focused on inference and pattern recognition, Generative Edge AI brings creativity and contextual understanding to local devices. With advancements in model optimization techniques such as quantization, pruning, and knowledge distillation, modern generative models can now fit within the limited computational and memory constraints of edge devices. This evolution makes it feasible for smartphones, IoT devices, and embedded systems to generate complex outputs without relying on cloud-based models. Advantages and Uses of Generative Edge AI 1. Reduced Latency and Real-time Performance Since Generative Edge AI operates locally, it eliminates the delay associated with cloud-based AI processing. This is particularly useful for applications requiring immediate responses, such as voice assistants, augmented reality (AR) overlays, and AI-powered creative tools. 2. Enhanced Privacy and Security One of the biggest concerns with cloud-based AI solutions is data privacy. Generative Edge AI keeps sensitive data on local devices, minimizing the risk of data breaches, unauthorized access, and regulatory compliance issues. This is crucial for industries like government, healthcare, finance, and defense, where confidentiality is paramount. 3. Offline Functionality By removing dependence on an internet connection, Generative Edge AI ensures continuous operation even in remote areas or in cases of network disruptions. This makes it invaluable for field applications such as disaster response, military operations, and rural healthcare diagnostics. 4. Cost Efficiency Cloud-based AI incurs significant costs related to data transmission, cloud storage, and processing power. Generative Edge AI reduces these operational expenses by leveraging local processing, making AI-driven applications more affordable and sustainable. 5. Industry Applications Generative Edge AI has a wide array of use cases, including: Currently Available LLMs for Generative Edge AI Several open-source LLMs have been optimized for deployment on edge devices (often referred to as Small Language Models or SLMs), including: EACOMM’s Current Efforts in Generative Edge AI EACOMM is actively researching and developing solutions that integrate Generative Edge AI into business and industrial applications. We are developing prototypes and proof-of-concepts for custom-built Generative AI Assistants that can be deployed directly on desktop PCs, smartphones, or other edge devices. These assistants eliminate reliance on cloud infrastructure, ensuring seamless functionality even in environments with poor internet connectivity while significantly reducing security and privacy risks associated with transmitting sensitive data to external servers. A notable project currently in active development for an educational client is a Retrieval-Augmented Generation (RAG) system that seamlessly integrates enterprise-grade search engines with generative AI models. This system allows users to query internal databases and receive AI-generated responses enriched with contextual data, providing more accurate and relevant information. Designed to be hosted entirely on-premise, this solution runs efficiently on standard virtual machines without the need for GPUs and can even be installed on a standalone desktop PC. By keeping all operations within the local infrastructure, the system addresses key concerns related to data privacy, regulatory compliance, and unreliable internet access—critical factors for educational institutions handling sensitive student and faculty information. What the Future Holds As Generative Edge AI continues to evolve, we can expect groundbreaking developments that will redefine how we interact with technology. The proliferation of efficient AI chips and AI-ready computers and smartphones from the likes of Apple, Nvidia, and Qualcomm, coupled with further advancements in model optimization, will make generative AI a standard feature in personal devices. Future innovations could include: The potential of Generative Edge AI is vast, and as hardware and AI models continue to improve, we are on the brink of a new era where intelligent, creative, and autonomous AI solutions become an integral part of everyday life. EACOMM remains committed to pioneering this transformation, ensuring that businesses and consumers alike can harness the full power of Generative Edge AI.
Incident Reporting and Response System for Safety & Security
EACOMM Corporation is proud to introduce PRISM Responder Enterprise Edition, a state-of-the-art Incident Reporting and Response System designed to streamline incident reporting, improve response coordination, and enhance data analysis for organizations across various industries in the Philippines and beyond. Building upon the success of our PRISM Responder App, this enterprise edition offers a centralized platform for collecting, analyzing, and responding to incidents in real-time. By leveraging AI-driven automation and intuitive reporting features, PRISM Responder Enterprise Edition empowers safety officers, first responders, and government agencies to manage and mitigate risks effectively. Key Features of PRISM Incident Reporting and Response System 1. Incident Reporting System 2. Incident Responder Mobile Application PRISM Responder provides first responders with a dedicated mobile application to streamline response efforts: 3. Incident Reporting and Response Command Center For centralized coordination and monitoring, PRISM Responder includes a powerful command center web application, equipped with: Real-World Applications of PRISM Incident Reporting and Response System Enterprise Safety and Risk Management Organizations that prioritize safety and compliance can leverage PRISM Responder for improved risk management: Campus Safety Universities and educational institutions can use PRISM Responder to protect students, faculty, and other stakeholders by: Local and National Government Agencies Local government units (LGUs) and national agencies can integrate PRISM Responder into their disaster and emergency response systems to: Request for a Presentation Today! PRISM Responder Enterprise Edition is more than just an Incident Reporting and Response System—it is a comprehensive, AI-powered solution designed to optimize incident response, enhance safety compliance, and support proactive risk management. Whether deployed in enterprises, campuses, or government agencies, PRISM Responder transforms the way organizations report, analyze, and respond to incidents. To schedule a product presentation and demonstration of the PRISM Responder Enterprise Edition and how it can benefit your organization, contact EACOMM Corporation today or email us at sales@eacomm.com.
Do Androids Dream of Electric Sheep? The Impact of High Tech AI and Robotics
As a technology-driven organization, EACOMM actively monitors emerging innovations poised to shape the future. The convergence of generative AI and robotics is on track to turn science fiction into reality within the next decade. Exploring works like Do Androids Dream of Electric Sheep? can provide valuable insights into the ethical and philosophical challenges these technologies may present. By staying well informed of these developments, EACOMM aims to contribute to a responsible and sustainable technological future. Do Androids Dream of Electric Sheep? In Philip K. Dick’s 1968 novel Do Androids Dream of Electric Sheep? (From which the 1982 film BladeRunner was based), the line between human and artificial life blurs in a dystopian future where androids — indistinguishable from humans in appearance and behavior — are created to serve and sometimes subjugate the human population. As technology continues its rapid progression, questions once confined to the realm of science fiction are increasingly entering the realm of reality. The development of humanoid robots, androids, and generative AI is advancing at a breathtaking pace, and it is not far-fetched to imagine that within the next decade, these innovations could alter the fabric of society in profound ways. In the novel, the concept of “empathy” is central to distinguishing humans from androids. Empathy, in this context, is portrayed as a uniquely human trait that allows individuals to connect with and care for one another. The protagonist, Rick Deckard, is a bounty hunter tasked with “retiring” rogue androids who have fled to Earth. As the story unfolds, Deckard faces moral dilemmas surrounding the nature of life, consciousness, and the boundaries between human and machine. These questions of what it means to be truly “alive” resonate more now than ever, as robots and AI systems approach human-like qualities. The convergence of AI and robotics technologies in the coming years will not only bring androids to life but will also redefine the very nature of work, interaction, and even the human experience. As we stand on the precipice of this technological revolution, it is important to explore how these developments might unfold, the ethical challenges they pose, and how they could change our daily lives. The Convergence of Generative AI and Robotics The first step in the potential advent of humanoid robots and androids is the development of robots that can physically mimic human movements. Over the past few years, breakthroughs in robotics have seen machines that can walk, run, and even perform intricate tasks with a level of dexterity that was once thought to be exclusive to humans. Companies like Boston Dynamics, Honda, and Tesla are leading the charge in developing robots with human-like capabilities. For instance, Boston Dynamics’ “Atlas” robot, with its advanced mobility, agility, and ability to navigate diverse environments, represents a significant leap in humanoid robotics. At the same time, artificial intelligence is progressing rapidly, providing these robots with the ability to not only move but also think, reason, and learn. While AI-powered robots have been deployed in various industries, the goal is to develop robots that can interact with humans in a more natural and intuitive way. The dream of creating robots with human-like intelligence, emotions, and even creativity is now on the horizon. This Humanoid Robot from Chinese company Unitree is available for sale today for USD 16,000.00 according to this link: https://shop.unitree.com/ The fusion of AI and robotics will bring about humanoid robots capable of performing a variety of tasks — from domestic assistance to caregiving, and even complex industrial work. The key challenge, however, lies in developing robots that not only look like humans but can also mimic the subtleties of human communication and empathy. Just as in Do Androids Dream of Electric Sheep?, the question remains: Can these machines truly understand human emotions and form connections with humans, or are they merely mimicking empathy as a programmed response? The ethical implications of these developments are profound. As robots become more human-like, questions surrounding rights, agency, and the treatment of these machines will arise. Will androids be seen as tools to be used for human benefit, or will they be granted some form of personhood or autonomy? These are the questions that society will need to grapple with as humanoid robots become more integrated into everyday life. Generative AI: Machines that Create While humanoid robots are designed to perform physical tasks, another major technological leap is the rise of generative AI — machines that can create content, make decisions, and perform cognitive functions that were once thought to be the sole domain of humans. Generative AI systems, such as OpenAI’s GPT-3 and its successors, are capable of producing realistic human-like text, art, music, and even code. These AI systems are trained on vast datasets, learning patterns and structures to generate content that can mimic the creativity of human beings. Ai-Da is the world’s first ultra-realistic robot artist, blending electronic, AI, and human inputs to create unique artworks, including drawings, performance art, and collaborative pieces. Ai-Da’s artwork “A.I. God”, a portrait of Alan Turing, sold for $1.1 million at Sotheby’s on November 7, 2024, far exceeding its estimate of $120,000 to $180,000, breaking records for art created by a humanoid robot. In the context of humanoid robots and androids, generative AI will play a crucial role in enabling these machines to process information, interact with people, and even make decisions. For example, a humanoid robot powered by generative AI could hold conversations, solve problems, and assist with tasks that require critical thinking. The AI would not simply respond to commands, but would actively engage with humans, offering solutions and insights in real time. Moreover, generative AI could also enhance the way robots interact with their environments. By processing sensory input from their surroundings, AI systems could enable robots to adapt to changing circumstances, solve new problems, and learn from experience. This level of cognitive flexibility could make robots far more useful in a variety of industries, from healthcare to education, to manufacturing and logistics. As AI continues to evolve,
Watsonx Assistant and Discovery: Unlock your Unstructured Data
In the digital age, businesses accumulate vast amounts of unstructured data, including text documents, images, and videos. Extracting valuable insights from this data can be a daunting task without the right tools and technologies. IBM Watson Discovery is a comprehensive solution designed to address this challenge by ingesting, normalizing, enriching, and searching unstructured data across various formats, including JSON, HTML, PDF, and Word documents. Leveraging Natural Language Understanding and Document Conversion capabilities, Watson Discovery empowers organizations to gain actionable insights from complex business documents. Watson Discovery: Unlocking Insights from Unstructured Data One of the key strengths of Watson Discovery lies in its ability to extract insights from unstructured data effortlessly. By leveraging advanced AI algorithms, Watson Discovery can analyze text documents and extract relevant information, enabling organizations to uncover hidden patterns, trends, and relationships within their data. Moreover, Watson Discovery’s intuitive UI tools facilitate easy uploading, enrichment, and indexing of large collections of data, streamlining the data discovery process. Whether deployed as a cloud service or on-premise, Watson Discovery offers unparalleled flexibility and scalability, making it an ideal choice for organizations of all sizes. Empowering AI-Driven Decision Making Watson Discovery goes beyond traditional search capabilities by enabling organizations to train AI models to understand their content better. By utilizing natural language queries, users can quickly find relevant answers and insights based on their documents, empowering data-driven decision-making processes. Whether it’s analyzing customer feedback, extracting key information from research reports, or uncovering market trends, Watson Discovery equips organizations with the tools they need to unlock the full potential of their unstructured data. Watsonx Assistant: Revolutionizing User Interaction with AI While Watson Discovery enables organizations to extract insights from unstructured data, Watsonx Assistant serves as a user-friendly interface for accessing these insights through conversational AI. Powered by large language models (LLMs), Watson Assistant offers fast and friendly customer care experiences, allowing users to interact with AI-powered voice agents and chatbots seamlessly. Moreover, Watson Assistant can be easily integrated with Watson Discovery, enabling organizations to deliver insights gained from Watson Discovery directly to users through intuitive conversational interfaces. Enhancing User Experience with Watson Assistant and Watson Discovery Integration The integration of Watson Assistant with Watson Discovery offers significant benefits for organizations seeking to enhance the user experience and streamline data access. By leveraging Watson Assistant as a front-end interface, organizations can provide users with intuitive access to insights gained from Watson Discovery without the need for extensive coding skills. Whether it’s querying specific data points, retrieving relevant documents, or receiving personalized recommendations, users can interact with Watson Assistant effortlessly, facilitating seamless knowledge discovery and decision-making. Use Case: Government Agencies and Local Government Units Government agencies and LGUs are ideal users of Watson Assistant and Watson Discovery. Most, if not all, LGUs and government agencies in the Philippines have piles and piles of unstructured data in the form of scanned documents, pdf files, photographs, etc., as well as structured data in Excel spreadsheets and siloed information systems. Whereas before, organizing all this information would mean a massive undertaking in terms of data standardization and normalization, Watson Discovery eliminates this need by using AI to make sense of the various data sources. Watsonx Assistant then comes in to greatly simplify the search and querying of this information without the need to develop specialized queries and reports. Use Case: Logistics and Supply Chain Management One of the primary benefits of integrating Watson Assistant with Watson Discovery in logistics is the facilitation of seamless communication and decision-making processes. For example, within a logistics company’s internal operations, employees can utilize a Watson Assistant-powered chatbot to quickly retrieve information regarding inventory levels, shipment statuses, and warehouse locations. By connecting to Watson Discovery, the chatbot can access vast repositories of data, enabling employees to make informed decisions in real-time without the need to navigate multiple systems or interfaces. Furthermore, in scenarios where external stakeholders, such as customers or suppliers, require updates on shipment progress or service inquiries, Watson Assistant can serve as a user-friendly interface for interacting with Watson Discovery-powered insights. Customers can engage in natural-language conversations with a chatbot to track their orders, request delivery updates, or inquire about product availability. Behind the scenes, Watson Discovery processes these queries, retrieves relevant information from databases or documents, and presents accurate responses to the users via the Assistant interface. Unlock your data today! Organizations can improve decision-making, streamline operations, and improve the user experience across a variety of domains by utilizing Watson Discovery’s abilities to analyze unstructured data and produce actionable insights in conjunction with Watson Assistant’s simple conversational interface. EACOMM Corporation is an IBM Silver Partner, specializing in IBM’s powerful suite of AI products and services for enterprises. Contact us today and avail yourself of a free trial and proof-of-concept demonstration of Watsonx Assistant and Watson Discovery!
Happy New Year! A Preview of Generative AI in 2024
As EACOMM bids farewell to another year and steps into the uncharted territory of 2024, it’s a perfect moment to reflect on the strides we’ve made in the realm of generative artificial intelligence (AI) and cast our gaze toward the exciting developments that lie ahead. The past year has been a testament to the incredible potential of AI, and 2024 promises to be a groundbreaking chapter in the evolution of generative AI technology. A Year of Achievements and Progress Before we delve into the future, let’s celebrate the milestones achieved in 2023. By using tools from Openai, Midjourney, Stability, IBM WatsonX, Google, and more, generative AI has continued to push the envelope of what is possible. From generating human-like text to aiding in creative endeavors, the applications have been vast and transformative. In 2023, we witnessed advancements in natural language processing, image generation, and even music composition, showcasing the versatility of generative AI. Businesses embraced AI-driven solutions to streamline processes, and creative professionals found new avenues for inspiration. Generative AI in 2024 1. Enhanced Understanding of Context: As we move into 2024, expect generative AI to demonstrate a deeper understanding of context. AI models will become more adept at grasping nuanced conversations, resulting in more accurate and contextually relevant responses. This development is poised to improve user experiences across various applications. 2. Ethical AI and Responsible Innovation: The ethical considerations surrounding AI will take center stage in 2024. There will be increased emphasis on responsible AI development, with a focus on minimizing biases and ensuring transparency. As the technology matures, the industry will continue to grapple with questions of ethics, privacy, and accountability. 3. Interdisciplinary Collaborations: The synergy between generative AI and other disciplines will become more pronounced in the coming year. Expect to see collaborations between AI researchers, artists, writers, and scientists, leading to innovative projects that blend creativity and technology in unprecedented ways. 4. Customizable AI Solutions: In 2024, we anticipate the emergence of more customizable AI solutions. Businesses and individuals will have the ability to tailor AI models to their specific needs, enabling a more personalized and efficient integration of generative AI into various workflows. 5. Advancements in Multimodal AI: The integration of multiple modalities—text, image, and possibly even audio—will be a key focus in 2024. This will open new possibilities for creative expression and problem-solving, as AI models gain the ability to understand and generate content across different formats. Embracing the Future with Optimism As we usher in the new year, let’s approach the future of generative AI with optimism and a commitment to responsible innovation. The potential for positive impact is immense, from revolutionizing industries to fostering new forms of artistic expression. EACOMM can help you embark on a journey into 2024, where the boundaries of what’s possible continue to expand, driven by the ever-evolving capabilities of generative artificial intelligence. EACOMM Corporation wishes you a Happy New Year filled with innovation, creativity, and the boundless possibilities of the AI-powered future!
A look into Santa Claus and his New Generative AI-powered Workshop
2023 has been a breakout year for generative AI technologies, and as the Holiday Season falls upon us, we can’t help but think about how Santa and his helpers are utilizing AI to help improve the efficiency of his factory up in the North Pole. Naughty and Nice List Generator With AI’s ability to detect sentiment and intent, we won’t be surprised if Santa is using it to analyze children’s behavior and generate his Naughty and Nice List with improved accuracy. Gift Recommendation System Santa can use generative AI to analyze the wish lists of children worldwide and generate personalized gift recommendations based on their interests, age, and behavior throughout the year. This could help Santa create a more customized and enjoyable gift-giving experience. Generative AI Toy Designer Santa can use generative AI image generation technologies to help his elves design new toys that he can 3D print in his workshop. Generative AI Personalized Christmas Cards Expect more insightful and touching letters from Santa this Christmas as he makes use of LLM and generative AI to automatically write Christmas cards for you and your family. Route Optimization Santa might just finish his rounds earlier than usual this year as he utilizes AI to optimize his delivery routes across the globe. EACOMM has dedicated much of 2023 to developing software that taps generative AI to create software tools for its partners and clients similar to what Santa may have installed in his workshop. In June, EACOMM released the Chaital Generative AI-powered Chatbot, now being used not only as a website and Facebook Messenger chatbot but also as an automated tech support and help desk assistant built into software systems deployed with our clients. Running for several months now is a system developed for Google Maps that uses generative AI to detect and categorize social media posts from Metro Manila’s light rail providers and convert them to GTFS-RT service alerts. The second half of the year saw the prototype release of Elisha Insights, Elisha Telecom’s flagship AI analytics system that automates quality assurance and compliance monitoring in contact centers. Elisha Insights is currently being piloted in several large contact centers in the Philippines and the United Kingdom, with an imminent production release in January 2023. Nearing completion is a multi-media workflow manager for our partner Academ-e that would radically accelerate its production process for the upcoming MATATAG Curriculum transition. Through the use of generative AI, the workflow manager automates video asset creation, text-to-speech, and event development of storyboards and quizzes. 2024 should be an even more exciting year for generative AI as it further improves and matures and as companies find more and more use cases for this transformative technology.
EACOMM presents new AI technology at the 2023 Procurement Summit
EACOMM Corporation, a leading Filipino-owned custom software developer specializing in AI technology, IoT, web, and mobile applications, was honored to be invited to participate at the recently concluded 2023 Philippine Procurement Summit, held on October 23–24, 2023, at the Philippine International Convention Center and organized by the Government Procurement Policy Board Technical Support Office (GPPB-TSO). The event revolved around the theme “Building a Cadre of Procurement Professionals as Catalysts for Innovation and Competitiveness.” The Philippine Procurement Summit is an annual event that serves as a platform for government procurement practitioners and suppliers to converge, exchange knowledge, and explore innovative strategies to transform the procurement landscape. The summit’s focus on building a cadre of procurement professionals reflects the desire to equip participants with the skills and insights needed to drive innovation and enhance competitiveness within their organizations. EACOMM Corporation seized this opportunity to demonstrate its expertise in the field of AI technology and its transformative potential for government services. Senior System Architect Karlo Martin Robosa delivered a presentation on various AI-related projects undertaken by EACOMM over the past decade, with an emphasis on generative AI use cases in the Philippines, particularly in government. During his presentation, Mr. Robosa shed light on EACOMM’s ongoing and past AI projects, including chatbots, analytics, machine learning, and IBM Watson integrations. The 2023 Procurement Summit was an enriching and inspiring event, and EACOMM Corporation is proud to have been part of this gathering of professionals who are committed to advancing the field of procurement. The summit demonstrated the transformative power of procurement in driving innovation and competitiveness, ultimately shaping the future of government operations and supplier relationships. Inquire now about how AI technology can be used for your business. EACOMM offers free consultations, demonstrations, and presentations to key stakeholders to better understand AI technology and how it can be used in both public and private organizations.
EACOMM Corporation is now an IBM Silver Partner
As a partner, EACOMM will be tapping IBM’s decades of experience and market leadership in Enterprise Artificial Intelligence, Machine Learning, and Data Analytics to complement and enhance its custom software development and knowledge services.
Generative AI Technology: A New Breakthrough for Customer Service
Artificial Intelligence (AI) has evolved significantly, with Generative AI technologies like ChatGPT, MidJourney, DALL-E, and Bard gaining global attention. Generative Artificial Intelligence creates novel content based on its training, revolutionizing accessibility and applications of AI. It has transcended from a niche tool for data-rich organizations to a universally applicable solution, benefiting students, designers, and office workers alike. Generative AI’s potential is particularly promising for customer service. Unlike rule-based chatbots, it comprehends context, learns from data, and produces human-like, tailored responses for each customer. Personalized Interactions: Generative AI refines its responses as conversations progress, leveraging customer information for personalized suggestions. For instance, a retail customer querying a previous purchase receives suggestions based on order history, enhancing cross-selling. 24/7 Global Availability: Generative AI overcomes temporal and linguistic barriers, catering to global customers 24/7 in their native languages. This unlocks new markets and expands business horizons. Handling Complex Interactions: Generative AI learns from extensive data, adeptly managing intricate customer scenarios. Its continuous learning improves responses, enabling it to address nuanced queries effectively. Unlike scripted chatbots, Generative AI gauges intent, mood, and conversation flow, automatically escalating to human agents if needed. Limitations and Solutions Generative AI Customer Service Solutions that are available in the Philippines Chaital GPT AI Chatbot: Chaital is a powerful GPT-based chatbot that can handle conversations and interactions via your website, Facebook messenger, Viber, SMS, etc. Training is easy and can integrate directly with your website content or database. Elisha Insights is an AI-driven Customer Service Analytics engine that automatically classifies interactions, analyzes sentiment, and evaluates customer interactions using customizable performance metrics. Both solutions seamlessly integrate with existing systems and offer flexible billing options, ensuring that businesses can harness the power of AI for elevated customer service.
The Truth about AI in the Workplace
AI or Artificial Intelligence (AI) is the buzzword for 2023. But what do you really know about the truth about AI? What is it all about? What are the risks and benefits of having AI in the workplace? This article hopes to shed light on how Philippine companies can benefit from AI and manage the risks involved in adopting it in the Filipino workplace. What is Artificial Intelligence? AI can be defined as: The ability of a computer system to perform tasks commonly associated with intelligent beings. It applies to developing systems endowed with the intellectual processes of humans: Inherent to most AI systems is the ability to LEARN. Referred to as Machine Learning, this pertains to the computer program’s ability to generate insights or predict outcomes based on the data it is provided. For example, a computer program will know what a cat looks like by looking at hundreds, if not thousands, of photos of cats. ChatGPT was trained on at least 570GB of text gathered from the Internet. While some AI can learn by itself, most AI applications were trained by dozens or even hundreds of people. History of AI Types of Artificial Intelligence Narrow AI (Weak AI) Narrow AI refers to AI systems that are designed to perform specific tasks or functions within a limited domain. These systems are focused on excelling at a particular task rather than possessing general intelligence. Narrow AI is the current form of AI in use today and is applied in various industries such as healthcare, finance, and transportation. General AI (Strong AI) General AI refers to AI systems that possess the ability to understand, learn, and apply knowledge across a wide range of tasks and domains. Unlike Narrow AI, General AI aims to exhibit human-like intelligence and cognitive abilities. It would have the capacity to understand natural language, reason, learn from various sources, and perform tasks across diverse domains. As of 2023, General AI is yet to be achieved. Examples of Narrow AI Speech Recognition: Detecting and analyzing what a human is saying and converting it to actions/text. Examples: Amazon Alexa, Apple Siri, Google Assistant Natural Language Processing (NLP): NLP involves the understanding and interpretation of human language. Includes determining intent, sentiment, meaning, etc. Examples: IBM Watson, ChatGPT Computer Vision and Image Recognition: Enabling machines to understand and interpret visual information. Examples: Tesla Autopilot, Google Lens Recommendation Systems: Analyzes and cross-references user preferences and behavior and predicts/suggests products that the user might like. Examples: GoogleAds, Facebook, TikTok, Netflix, Amazon, etc. Benefits of AI AI offers several benefits across various domains. One of the key advantages is improved efficiency. By automating repetitive and time-consuming tasks, AI frees up employees to concentrate on more strategic work. This increased efficiency not only leads to higher productivity but also brings about significant cost savings. For instance, AI-powered chatbots, automated data analysis, and document processing are examples of how AI streamlines operations and enhances efficiency in different industries. Another benefit of AI is its ability to enhance decision-making processes. AI provides data-driven insights and analysis, enabling better-informed decisions. Through predictive analytics and machine learning algorithms, AI can identify patterns and trends in vast datasets, enabling organizations to make informed decisions promptly. Real-time data analysis is particularly valuable, as it empowers businesses to stay agile and respond to changing circumstances. Examples of AI-driven decision-making include recommendation engines used in social media and e-commerce websites, which offer personalized suggestions to users based on their preferences and behaviors. AI also contributes to increased accuracy and precision in tasks. AI systems can perform operations with minimal errors, eliminating human errors and biases that can impact outcomes. This is particularly relevant in fields such as automated quality control, image recognition, and natural language processing, where AI algorithms can achieve high levels of accuracy and consistency. Furthermore, AI plays a crucial role in improving customer experience. By analyzing user data and preferences, AI enables personalized experiences. Recommender systems, for instance, suggest relevant products, services, or content based on individual preferences, enhancing customer satisfaction and engagement. Additionally, AI can assist human representatives in real-time interactions, ensuring seamless customer engagement and addressing inquiries promptly. Lastly, AI drives workplace innovation by augmenting human workers. With AI-assisted systems, employees can focus on the creative, intellectual, and innovative aspects of their work. AI acts as a powerful tool to support and amplify human capabilities, allowing workers to explore new possibilities and push the boundaries of their roles. The uses of AI systems, such as ChatGPT, are only limited by the user’s imagination, highlighting the potential for innovation and transformation in the workplace. Risks of AI The widespread adoption of artificial intelligence (AI) poses several risks that need to be addressed. One significant concern is the potential disruption to the workforce. As AI technology advances, there is a growing risk of automation replacing low-skilled and repetitive jobs. This could lead to the redundancy of workers who perform tasks such as first-line customer support, transcription, and inventory management. To mitigate this risk, it is crucial for workers to upskill and reskill themselves to effectively leverage AI in their respective roles and maximize its benefits. Another important risk associated with AI is the potential for bias and discrimination. AI systems rely on training data, and if the data contains inherent biases, the AI algorithms may perpetuate and amplify these biases. This can result in discriminatory outcomes in areas such as hiring, promotions, and customer interactions. It is essential to address these biases and ensure that AI systems are designed and trained in a way that promotes fairness and equality. Privacy and security concerns also arise with the use of AI. The collection, storage, and processing of personal and sensitive data by AI systems raise concerns about data protection. There is a risk of data breaches, unauthorized access, and misuse of information, which can have serious implications for individuals and organizations. Appropriate measures need to be taken to safeguard data and ensure that AI systems comply with privacy regulations. Lack
Introducing Chaital: GPT-powered AI Chatbot For Your Business
We are thrilled to announce the launch of Chaital, an advanced AI Chatbot developed by EACOMM Corporation. Designed to revolutionize the way organizations interact with their customers and streamline internal processes, Chaital offers articulate responses to inquiries about your organization, assisting visitors, customers, and employees with ease. Chaital’s cutting-edge features empower businesses to harness the full potential of AI-driven communication. By integrating the same powerful AI engine that powers ChatGPT, Chaital brings unmatched intelligence and efficiency to your organization. Whether you need a responsive customer support chatbot or an internal assistant for your workforce, Chaital has got you covered. An AI Chatbot that is Easy to Use and Train Implementing Chaital within your websites or applications is a breeze. In just a matter of minutes, you can have Chaital up and running. Simply upload your training data or provide your company profile, test Chaital’s responses in our chat playground, paste the Chaital widget code on your website, and you’re good to go! Unlimited AI Chatbots With a single Chaital account, you gain the power to create chatbots for multiple websites and use cases. Engage with your website visitors, onboard employees seamlessly, provide top-notch technical support to customers and staff, and explore limitless possibilities. Designed For Business Chaital is tailored to suit your unique business requirements. We integrate and customize Chaital to seamlessly fit your organization’s needs. Chaital can effortlessly access your various databases via API, automating its training and storing responses. Additionally, Chaital can crawl your website, ensuring the information it provides is always up-to-date. Furthermore, Chaital seamlessly integrates with popular communication channels such as Viber, Whatsapp, and FB Messenger, expanding your reach to customers on their preferred platforms. Expert Support and Assistance We provide dedicated technical support to guide you through the process of training and fine-tuning your chatbots. Our team of experts is ready to assist you in maximizing the full potential of Chaital, helping your organization thrive in the digital age. Developed by EACOMM Corporation Chaital is the brainchild of EACOMM Corporation, the Philippines’ premier custom software developer. With over two decades of experience in developing innovative and customized software solutions, EACOMM is trusted by Fortune 500 companies and Government Organizations worldwide. You can rely on our expertise and commitment to excellence. Subscribe to Chaital Today Experience the power of Chaital, visit www.chaital.net, and try it out for free or email us at sales@eacomm.com to know about how Chaital can benefit your business.
AI Development in the Philippines: Enhancing Public Services
The Philippine government has recently focused its efforts on the utilization of Information Technology to help improve the lives of its citizens. In the past decade, a dedicated Department of ICT was created to focus efforts on digitalization through a National ICT Development Agenda. Currently in the works is an E-Governance Law that has been tagged as urgent by the current regime. With AI development and machine learning becoming more accessible, it is time to seriously consider these technologies and the advantages they may provide for e-governance systems be they at the local or national level. Advantages of AI and ML for e-government systems AI and ML applications in e-governance systems There are several AI and ML applications that can be incorporated into e-government systems that can be advantageous to Philippine LGUs and National Agencies. Some examples include: AI Development challenges and considerations There are a variety of challenges and factors to consider when choosing to implement AI and ML in e-governance systems in the Philippines. Perhaps the main point to consider is the effect of AI and ML on personal privacy. The use of artificial intelligence and machine learning in e-government systems necessitates the collection and analysis of citizen data. Selecting which data is deemed ‘acceptable’ to process and analyze should be done with transparency and with the citizen’s explicit consent. The security of the storage of sensitive personal data should also be taken into account and as much care as possible must be taken to avoid such data going into the wrong hands. Secondly, in the Philippines, not all citizens have access to technology, which can hinder the efficacy of e-governance systems that rely on AI and ML. It is imperative that any system to be developed should take into account how citizens can access it and ensure that citizens will not be left behind simply because they cannot afford a smartphone or Internet access. Implementing AI and ML in e-governance systems can be expensive, necessitating substantial investments in technology and training. This is particularly true if AI/ML would be dependent on third-party technologies from other countries. It is essential to justify the implementation of these systems by demonstrating that their advantages outweigh their expenses and that internal/local expertise in AI/ML technologies be encouraged and nurtured to allow the country to compete globally without dependence on other countries. Private companies in the Philippines, are working diligently to develop AI and ML-powered products and services that can be integrated with e-governance systems securely and transparently to allow the Philippines to benefit from this groundbreaking technology. Conclusion The implementation of AI and ML in e-governance systems in the Philippines can provide citizens and the government with significant benefits. These technologies can improve service delivery and citizen engagement by automating processes, enhancing accuracy and transparency, and providing data insights. However, when implementing these technologies, obstacles such as data privacy, access to technology, skills, and expertise, and cost must be considered. Contact us today and find out how EACOMM Corporation can help you leverage the power of Artificial Intelligence and Machine Learning for your LGU or Government Agency or checkout the AI-powered products below: