NewFangled- Tech Landscape Setup: CTO as a Service for Startups

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Our CTO as a Service offers end-to-end support for seamless tech platform implementation, catering to diverse needs across the technological spectrum. Whether it's assisting startups in establishing their tech landscape or architecting solutions for high-volume data and concurrent users, we ensure comprehensive guidance at every step. Cloud migration from or to on-premises environments is facilitated seamlessly, leveraging our expertise in cloud technologies. Our team specializes in setting up architecture for data lakes and warehouses, ensuring efficient data management and processing. Moreover, we provide cutting-edge solutions for analytics and ETL through Gen AI, enabling businesses to extract valuable insights and streamline data integration processes. From basic analytics to advanced AI/ML-driven analytics ecosystems, we cater to diverse analytical needs, empowering businesses to stay ahead in today's competitive landscape. Our focus is on empowering businesses to leverage technology effectively, driving innovation, efficiency, and growth. By providing tailored solutions and expert guidance, we enable businesses to harness the full potential of their data, unlocking opportunities for strategic decision-making and sustainable success. With our CTO as a Service, businesses can navigate the complexities of technology implementation with confidence, ensuring a seamless transition towards a future-ready tech landscape.

NewFangled- Tech Landscape Setup: CTO as a Service for Startups

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Generative AI, a pioneering facet of artificial intelligence, represents a transformative leap in computational capabilities. At its core, Generative AI employs advanced neural networks to autonomously produce content, whether it be text, images, or even music. Unlike traditional AI models bound by predetermined rules, Generative AI excels in creative output, mimicking human-like ingenuity and adaptability. This technology has demonstrated remarkable proficiency in tasks such as natural language processing, enabling it to generate coherent and contextually relevant text. Beyond content creation, Generative AI holds immense potential in diverse applications, from aiding in complex problem-solving to revolutionizing data analytics by producing insights from intricate datasets. Its capacity to innovate and generate novel solutions positions it as a driving force in shaping the future of intelligent systems, promising breakthroughs in creativity, automation, and human-machine collaboration across various industries.

Generative AI- NewFangled.pdf

Generative AI- NewFangled.pdf

Generative AI- NewFangled.pdf

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Data democratization is a transformative concept aimed at breaking down traditional data silos, making insights accessible to a wider audience within an organization. It involves empowering individuals beyond the data science realm, enabling them to interpret and leverage data for decision-making. This inclusive approach fosters a culture where employees, regardless of technical expertise, can access, analyze, and derive insights from data. By promoting transparency and collaboration, data democratization enhances innovation, agility, and efficiency across various departments. Ultimately, it shifts the organizational paradigm, turning data into a democratized asset that fuels informed decisions, fostering a more agile and responsive business environment.

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Data analytics is the systematic examination of raw data to extract valuable insights, identify patterns, and support decision-making. Utilizing statistical techniques, machine learning, and algorithms, data analytics transforms information into actionable knowledge. Businesses leverage analytics to uncover trends, optimize processes, and gain a competitive edge. From predictive modeling to exploratory analysis, it enables organizations to make informed decisions based on empirical evidence. In today's data-driven landscape, data analytics is integral for understanding customer behavior, improving operational efficiency, and fostering innovation. It empowers businesses to navigate complexities, derive strategic insights, and continuously refine their strategies for sustained success.

Data Analytics- NewFangled.pdf

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No-code data analytics represents a transformative approach to data analysis, allowing users to derive insights from complex datasets without the need for traditional programming or coding skills. This paradigm shift democratizes the data analysis process, enabling individuals across various business functions to harness the power of analytics tools without extensive technical expertise. In a no-code data analytics environment, users can leverage intuitive graphical interfaces and drag-and-drop functionalities to manipulate, visualize, and analyze data. This eliminates barriers to entry for non-technical users, fostering a more inclusive and collaborative approach to data-driven decision-making. No-code platforms often integrate machine learning algorithms and automation, further simplifying the process of deriving actionable insights from data. This approach has the potential to accelerate the pace of innovation within organizations by empowering business users to independently explore and interpret data. It reduces dependency on specialized data teams and expedites the time from data collection to actionable insights. As the demand for data-driven decision-making grows, no-code data analytics platforms are poised to play a crucial role in making analytics accessible to a broader audience, thereby catalyzing a more agile and responsive organizational culture.

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Generative AI and Generative BI (Business Intelligence) represent cutting-edge technologies that leverage advanced algorithms to create, analyze, and generate new content autonomously. Generative AI refers to artificial intelligence systems designed to produce original and creative outputs, often in the form of text, images, or other multimedia content. These systems, like OpenAI's GPT-3, can understand context, generate human-like language, and even engage in conversations, demonstrating a remarkable ability to mimic human cognitive processes. On the other hand, Generative BI focuses on utilizing generative models in the field of business intelligence. This involves leveraging AI algorithms to analyze large datasets, extract meaningful insights, and generate reports or visualizations automatically. Generative BI enables organizations to streamline decision-making processes by providing timely and relevant information without extensive manual intervention. Both Generative AI and Generative BI hold immense potential across various industries. Generative AI opens up avenues for creative applications such as content generation, storytelling, and even code writing. In the business realm, Generative BI empowers companies to make data-driven decisions efficiently, uncover hidden patterns, and gain a competitive edge in the rapidly evolving landscape of data analytics. As these technologies continue to evolve, they promise to revolutionize how we interact with information and make informed decisions in diverse domains.

Generative AI and Generative BI- NewFangled.pdf

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NewFangledVision

Revolutionize your data analytics journey with Generative AI-driven solutions. Powered by advanced algorithms, these tools autonomously delve into vast datasets, uncovering hidden patterns, and delivering actionable insights. Say goodbye to traditional analytics constraints as Generative AI adapts, learns, and evolves in real-time, ensuring continuous improvement. Transform decision-making processes and elevate innovation by leveraging the untapped potential of your data. Seamlessly navigate through complexities with a dynamic approach that optimizes resource utilization and unlocks unprecedented opportunities. Embrace the future of data analytics, where Generative AI drives efficiency, accuracy, and strategic advantage in an ever-evolving digital landscape.

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NewFangledVision

No-Code BI, short for No-Code Business Intelligence, is a revolutionary approach to data analytics and reporting that democratizes the power of data for a wider audience by eliminating the need for extensive coding or technical expertise. It provides user-friendly, intuitive interfaces and pre-built functionalities, enabling business professionals, analysts, and individuals with little to no programming knowledge to extract valuable insights from data. Key aspects and benefits of No-Code BI include: Accessibility: No-Code BI platforms break down the traditional barriers to data analysis, making it accessible to a broad spectrum of users within an organization. This accessibility fosters a culture of data literacy and reduces reliance on data scientists or IT experts. User-Friendly Data Exploration: Users can easily connect to various data sources, such as databases, spreadsheets, and cloud services, and explore data with simple drag-and-drop tools. This enables users to ask questions, experiment with data, and gain insights in real-time. Data Visualization: No-Code BI tools typically include data visualization features, allowing users to create interactive dashboards, charts, and reports. These visual representations help users comprehend complex data sets and communicate their findings effectively. Data Integration: These platforms integrate data from different sources, consolidating it into a single, unified view. This promotes a holistic understanding of an organization's data. Automation: No-Code BI platforms often include automation capabilities, enabling users to schedule data refreshes and updates, ensuring that insights are always based on the most current data. Rapid Prototyping: Users can quickly prototype and iterate on data analysis projects, enabling agile decision-making and exploration of various scenarios. No-Code BI is invaluable for small and medium-sized businesses, as it provides a cost-effective way to leverage data without the need for hiring dedicated data analysts or developers. It streamlines the process of data analysis, allowing organizations to make better-informed decisions, improve performance, and maintain a competitive edge. In conclusion, No-Code BI is a transformative technology that empowers organizations to harness the full potential of their data without the traditional coding barriers. It democratizes data analytics, making it more efficient and accessible, ultimately driving better-informed decision-making and business outcomes in today's data-driven world.

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No Code BI- NewFangled

No Code BI- NewFangled

NewFangledVision

No-Code ETL (Extract, Transform, Load) represents a revolutionary approach to data integration, simplifying the process of moving and transforming data without the need for extensive coding or technical expertise. This technology has gained prominence in the age of big data, as it empowers a broader range of users, including business analysts and non-technical professionals, to handle data integration tasks efficiently. Key aspects and advantages of No-Code ETL include: User-Friendly Interface: No-Code ETL tools feature intuitive, user-friendly interfaces with drag-and-drop functionality, which makes it accessible to users without programming skills. This ease of use reduces the learning curve and accelerates the data integration process. Data Extraction: These platforms provide pre-built connectors to various data sources, such as databases, cloud services, and APIs. Users can easily extract data from these sources and consolidate it into a central repository. Data Transformation: No-Code ETL tools offer a range of data transformation functions, allowing users to clean, reshape, and harmonize data. This helps ensure data quality and consistency. Data Loading: Users can define the destination where the transformed data will be loaded. No-Code ETL tools often support a variety of target systems, including databases, data warehouses, and cloud storage. Automation: Many No-Code ETL platforms include automation features for scheduling and orchestrating data workflows. This ensures that data pipelines are regularly updated and that insights are based on current data. Data Enrichment: Users can enrich data by integrating it with external data sources or performing calculations to derive additional insights. Data Validation: No-Code ETL tools often include data validation features to ensure data quality by identifying and handling errors during the data integration process. Scalability: These platforms are designed to handle both small and large datasets, making them suitable for organizations of all sizes. Cost-Effectiveness: No-Code ETL reduces the need for dedicated data engineering teams, leading to cost savings. It also accelerates the time-to-insight, increasing the ROI on data-related projects. Collaboration: Many No-Code ETL tools offer collaboration features, enabling multiple team members to work on data integration projects simultaneously. No-Code ETL is applied across various industries and use cases, from finance and healthcare to e-commerce and marketing. It empowers business users to take control of their data integration needs, reducing the bottleneck of relying on data engineers or IT departments. In conclusion, No-Code ETL is a transformative technology that streamlines data integration, making it accessible to a broader audience.

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"Self Service Analytics" is at the core of NewFangled, a transformative tool that empowers organizations and individuals to unlock the full potential of their data. With an intuitive and user-friendly interface, NewFangled makes data analysis accessible to users of all technical backgrounds. This self-service approach enables users to independently explore, manipulate, and visualize their data, reducing the reliance on data specialists or IT support. NewFangled's versatility extends to its compatibility with a wide range of data sources, allowing users to gather insights in real-time. It streamlines decision-making by providing a responsive and collaborative environment, where teams can easily share their findings, fostering a data-driven culture. In today's fast-paced business landscape, Self Service Analytics with NewFangled is a game-changer. It empowers users to make data-driven decisions swiftly and accurately, enhancing an organization's agility and competitiveness in the data-driven age.

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Self Service Analytics- NewFangled.pdf

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"Conversatix BI - Where Conversations Drive Data Insights" is a pioneering approach to business intelligence brought to life by the innovative tool, NewFangled. This concept revolutionizes the way organizations harness data by putting conversation at the forefront of data-driven decision-making. Conversatix BI fosters a collaborative environment, encouraging conversations about data among team members. With its user-friendly interface and interactive features, it enables individuals from various backgrounds to engage in meaningful discussions about data, sharing insights, and collectively arriving at informed decisions. NewFangled complements Conversatix BI by providing the necessary tools and features to facilitate these conversations effectively. Its intuitive dashboards, real-time reporting, and predictive analytics empower users to explore data and discover actionable insights, which can then be discussed and acted upon within the organization. In a data-driven world, Conversatix BI, fueled by NewFangled, ensures that data insights are not confined to a few experts but become a collaborative effort, allowing organizations to harness the full potential of their data through meaningful conversations and informed decision-making.

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NewFangledVision

"Generative BI" is a pioneering feature within the NewFangled tool that is redefining the landscape of business intelligence. By harnessing the power of artificial intelligence, Generative BI automates the process of creating insightful reports, dashboards, and data visualizations. Traditional Business Intelligence methods often require manual data analysis and report generation, which can be time-consuming and resource-intensive. Generative BI revolutionizes this process by enabling users to input their data, and the tool generates customized, interactive reports automatically. This feature is a game-changer as it significantly reduces the time and effort required for data analysis and reporting, allowing organizations to make data-driven decisions more rapidly. It also empowers users by automating complex tasks, freeing up time for in-depth data interpretation and strategic decision-making. NewFangled's Generative BI represents a significant leap forward in the world of business intelligence, making it a vital asset for organizations looking to gain a competitive edge in the rapidly evolving data-centric landscape.

Generative BI- NewFangled.pdf

Generative BI- NewFangled.pdf

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Traditional Business Intelligence (BI) methods have long been reliant on manual data analysis, requiring extensive expertise and time-consuming report creation. In contrast, NewFangled's "Generative BI" represents a paradigm shift in the world of data analytics. It harnesses the power of artificial intelligence to automate the generation of insightful reports, dashboards, and data visualizations. Traditional BI often necessitates specialized skills and significant manual effort to produce reports, limiting the agility of organizations in making data-driven decisions. Generative BI, on the other hand, streamlines and accelerates the process by allowing users to input data, after which the tool automatically generates customized, interactive reports, significantly reducing the time and effort involved. This distinction is crucial. Generative BI empowers organizations to respond more rapidly to changing conditions, promotes data-driven decision-making across all levels of the organization, and enhances overall efficiency. In the dynamic and data-centric business landscape of today, NewFangled's Generative BI offers a compelling advantage, ensuring that data analysis remains a proactive and accessible tool for organizations.

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NewFangledVision

PolusAI boasts four core components for a comprehensive data management solution: Conversatix BI (Business Intelligence): Conversatix BI enables users to derive meaningful insights from their data through intuitive visualizations and reporting. It simplifies the process of transforming raw data into actionable business insights, facilitating data-driven decision-making. Conversatix ETL (Extract, Transform, Load): This component automates the data integration process by extracting information from multiple sources, transforming it, and loading it into a centralized repository. It ensures data accuracy, consistency, and availability for analysis. Xpress Stream: Xpress Stream handles real-time data streaming, allowing organizations to process data as it's generated. This is vital for applications that require timely decision-making and immediate data monitoring. Log Quester: Log Quester specializes in log data management and analysis. It simplifies the collection, storage, and querying of log data, which is critical for cybersecurity, compliance, and troubleshooting efforts. These four components collectively make PolusAI a powerful and versatile data management solution.

Components of PolusAI- NewFangled.pdf

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NewFangledVision

NewFangled, a leading player in the realm of No-Code Data Tools, is a transformative solution for data management and analysis. This innovative platform empowers users to harness the power of data without any coding requirements. With its intuitive interface, NewFangled facilitates data extraction, transformation, and visualization, making it accessible to a diverse range of users, regardless of technical expertise. It accelerates decision-making processes and enhances productivity, ultimately enabling organizations to derive actionable insights from their data quickly and efficiently. NewFangled exemplifies the democratization of data analytics, fostering data-driven cultures and driving business growth in today's increasingly data-centric world.

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No-Code Data Tools- NewFangled.pdf

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"Big Data," often described as "NewFangled" due to its transformative impact, represents a monumental shift in the way we collect, manage, and analyze data. This phenomenon has been driven by the exponential growth of digital information, the proliferation of IoT devices, and advancements in data technologies. The core of Big Data revolves around the three Vs: Volume, Velocity, and Variety. It involves dealing with massive datasets that exceed the capabilities of traditional data processing tools, streaming data that arrives rapidly, and diverse types of structured and unstructured data. The significance of Big Data lies in its potential to extract valuable insights and uncover hidden patterns from this wealth of information. Organizations across various sectors are harnessing Big Data to make more informed decisions, optimize operations, and gain a competitive edge. This technology forms the foundation for predictive analytics, machine learning, and artificial intelligence, revolutionizing the way businesses operate. In the healthcare sector, Big Data is instrumental in personalized medicine, disease prediction, and drug discovery by analyzing massive datasets of patient records and genomic information. In retail, it aids in customer segmentation, demand forecasting, and inventory optimization. In finance, it helps with fraud detection and risk assessment by analyzing real-time transaction data. Big Data's impact is also seen in smart cities, with data-driven urban planning enhancing quality of life and sustainability. In scientific research, it supports climate modeling, genomics, and particle physics experiments with massive datasets. However, handling Big Data presents numerous challenges. Organizations must invest in robust data infrastructure, data governance, and security to manage and protect this information. Ethical concerns regarding data privacy, consent, and potential biases in analysis are paramount. In conclusion, "Big Data," as a "NewFangled" cornerstone of the data-driven era, represents both an opportunity and a challenge. Leveraging it effectively can lead to transformative insights, innovation, and competitive advantages, making it a pivotal component of the modern digital landscape. However, responsible and ethical management of Big Data is paramount to ensure data privacy and security while reaping its numerous benefits.

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The No-Code Data Analytics Infographic for NewFangled is a powerful tool that simplifies complex data analysis into a visually compelling format. By leveraging intuitive drag-and-drop interfaces, individuals, regardless of their coding proficiency, can transform raw data into interactive charts and graphs. This infographic not only streamlines the data analysis process but also facilitates better decision-making by presenting insights in a clear and accessible manner. It bridges the gap between data experts and non-technical stakeholders, empowering organizations to harness data-driven insights for enhanced efficiency and strategic decision-making. With NewFangled's No-Code Data Analytics Infographic, data becomes a valuable asset that everyone can leverage.

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PolusAI: No-Code ETL Tools are the Future's Simplicity In a world where data is the lifeblood of business, Extract, Transform, Load (ETL) processes are crucial for data integration and preparation. PolusAI recognizes that simplicity and accessibility are paramount in this data-driven era, and our "No-Code ETL Tools are the Future's Simplicity" platform is paving the way for a new generation of data professionals. Democratizing Data Integration: PolusAI's No-Code ETL Tools empower individuals from various backgrounds within an organization to effortlessly manage data without the need for complex coding or technical expertise. This democratization of data integration democratizes data access and accelerates decision-making. Key Features: User-Friendly Interface: Our platform boasts a user-friendly interface that allows users to design and automate ETL workflows intuitively. No coding skills are required, making data integration accessible to all. Seamless Data Integration: PolusAI's tools seamlessly integrate data from various sources, including databases, APIs, and cloud services, enabling organizations to centralize and harmonize their data effortlessly. Automation: With automated ETL processes, businesses can reduce manual intervention, enhance data accuracy, and save valuable time. Use Cases: Marketing: Marketing teams can consolidate customer data from multiple platforms, perform segmentation, and personalize campaigns. Finance: Financial analysts can automate the extraction and transformation of financial data for reporting and analysis. E-commerce: E-commerce companies can streamline inventory management, sales tracking, and customer analytics. PolusAI's "No-Code ETL Tools are the Future's Simplicity" platform is driving innovation by simplifying data integration and preparation. By eliminating the complexities of traditional ETL processes, we empower organizations to extract more value from their data assets, make faster and more informed decisions, and embrace the data-driven future with confidence and ease. Welcome to the future of data integration with PolusAI.

NewFangled PolusAI- No-Code ETL Tools are the Future's Simplicity.pdf

NewFangled PolusAI- No-Code ETL Tools are the Future's Simplicity.pdf

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NewFangledVision

PolusAI: Empowering Businesses with No-Code Stream Analytics In today's data-driven world, real-time insights are critical for organizations seeking to stay ahead of the curve. PolusAI introduces a groundbreaking solution with its No-Code Stream Analytics platform, revolutionizing the way businesses harness the power of data streams without the need for coding expertise. Simplified Data Analysis: PolusAI's No-Code Stream Analytics empowers users across diverse roles within an organization, from business analysts to operations managers, to extract valuable insights from continuous data streams. With an intuitive interface, users can effortlessly set up data pipelines, define event triggers, and create customized real-time analytics dashboards, all without writing a single line of code. Real-Time Decision-Making: In today's fast-paced business environment, timely decisions are critical. PolusAI's platform enables organizations to monitor data streams in real-time, providing instant insights into trends, anomalies, and emerging patterns. This real-time capability is invaluable for industries such as finance, e-commerce, and IoT, where swift responses to data fluctuations can lead to a competitive advantage. Key Features: Drag-and-Drop Interface: PolusAI's intuitive visual interface allows users to design data pipelines and analytics workflows effortlessly. Pre-Built Connectors: The platform includes pre-built connectors for popular data sources, making it easy to integrate and analyze data from various streams. Customizable Dashboards: Users can create customized dashboards and visualization widgets to monitor and analyze real-time data. Event-Based Alerts: Set up automated event triggers and alerts to respond to critical data events in real-time. Use Cases: Financial Services: Monitor stock market data, detect fraudulent transactions, and optimize trading strategies. E-commerce: Track user behavior, inventory levels, and sales trends to enhance customer experiences. IoT: Monitor sensor data for equipment maintenance, energy consumption, and predictive maintenance. PolusAI's No-Code Stream Analytics platform democratizes data analytics, making it accessible to a broader audience within organizations. By simplifying the process and eliminating the need for coding, we empower businesses to make data-driven decisions faster and more efficiently, ultimately driving innovation and growth in an increasingly competitive landscape. Welcome to the future of real-time data analysis with PolusAI.

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NewFangledVision

PolusAI: Pioneering Generative AI Research for a Transformative Future In a rapidly evolving landscape of artificial intelligence and machine learning, PolusAI stands out as a trailblazer in the field of Generative AI Research. Our commitment to pushing the boundaries of AI technology is driving innovation and reshaping the way we interact with data, information, and even creativity. Leading the Generative AI Revolution: PolusAI's research efforts are dedicated to advancing the state-of-the-art in Generative AI, a branch of AI that focuses on creating intelligent systems capable of generating content, insights, and solutions autonomously. We're at the forefront of developing groundbreaking algorithms, models, and applications that harness the power of Generative AI. Key Aspects of PolusAI's Generative AI Research: Cutting-Edge Algorithms: Our team of experts constantly develops and refines algorithms that enable machines to generate text, images, audio, and even interactive experiences with unprecedented quality and realism. Innovative Applications: PolusAI's research has far-reaching applications, from automating content creation and data analysis to enabling creativity and problem-solving in diverse domains. Ethical Considerations: We're dedicated to responsible AI development, ensuring that our Generative AI research adheres to ethical standards, respects privacy, and benefits society as a whole. Use Cases and Impact: Content Generation: Our research fuels AI-powered content generation, from writing articles and creating art to composing music and generating code snippets. Data Analysis: PolusAI's Generative AI enhances data analytics by automating insights extraction, trend prediction, and anomaly detection. Problem Solving: Our models aid in complex problem-solving, enabling quicker and more efficient decision-making in various industries. Shaping the Future of AI: PolusAI envisions a future where Generative AI is seamlessly integrated into daily life, streamlining tasks, enriching creativity, and amplifying human potential. We believe that the synergy between humans and AI will lead to extraordinary breakthroughs in fields like healthcare, entertainment, education, and beyond. As we continue to pioneer Generative AI Research, we're committed to responsible and ethical development, ensuring that AI technology benefits humanity while upholding the highest standards of quality, security, and privacy. PolusAI's journey into the realm of Generative AI Research is not just about advancing technology; it's about shaping a future where AI enhances our lives in unimaginable ways. Join us on this exciting journey into the limitless possibilities of Generative AI.

NewFangled PolusAI- Generative AI Research.pdf

NewFangled PolusAI- Generative AI Research.pdf

NewFangled PolusAI- Generative AI Research.pdf

NewFangledVision

PolusAI Conversatix BI: Transforming Business Intelligence with Conversational AI In the dynamic world of business intelligence (BI), staying competitive requires access to insights in a fast and intuitive manner. PolusAI introduces "Conversatix BI," a groundbreaking solution that blends the power of Conversational AI with advanced BI capabilities, reshaping how organizations interact with and harness their data. Conversational AI Empowers BI: Conversatix BI revolutionizes the way data is accessed and analyzed by enabling users to interact with their data in natural language. This intuitive approach democratizes data access, making it accessible to a broader audience, from executives to non-technical staff. Key Features: Conversational Interface: Conversatix BI provides an intuitive, chatbot-like interface that allows users to ask questions, request insights, and interact with data as if they were conversing with a data expert. Accessibility: It eliminates the need for users to navigate complex BI interfaces or write SQL queries, making data insights accessible to all within an organization. Real-Time Analytics: Users can access real-time data, enabling quick responses to changing market conditions and immediate decision-making. Advanced BI Capabilities: Beyond simple queries, Conversatix BI can generate complex reports, perform trend analysis, and provide in-depth insights, making it a powerful tool for data-driven decision-making. Use Cases: Executive Dashboards: Executives can get a snapshot of company performance and key metrics through natural language queries. Sales and Marketing: Sales teams can inquire about sales trends, while marketing teams can request campaign performance data. Financial Analysis: Financial professionals can access financial reports and perform ad-hoc analysis without relying on data experts. PolusAI Conversatix BI is ushering in a new era of BI, where data becomes accessible and actionable for all. By combining the simplicity of conversation with advanced analytics, organizations can make more informed decisions, respond swiftly to market changes, and ultimately gain a competitive edge in an increasingly data-driven world. Welcome to the future of Business Intelligence with PolusAI Conversatix BI.

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The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

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Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

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Exploring Multimodal Embeddings with Milvus

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The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation. The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.

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In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.

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💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨‍🏫👨‍💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

UiPathCommunity

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Intro to Passkeys and the State of Passwordless.pptx

Intro to Passkeys and the State of Passwordless.pptx

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Vector Search -An Introduction in Oracle Database 23ai.pptx

Vector Search -An Introduction in Oracle Database 23ai.pptx

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

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Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

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Welcome to this session on UiPath Manufacturing and AI. In this session, we will discuss the importance UiPath plays with technology in the manufacturing and we will do an overview of AI and Document Understanding. Please join us to hear from UiPath and Community experts on why you might consider leveraging UiPath in manufacturing. Topics covered Community team overview The importance of UiPath technology for manufacturing UiPath AI and Document Understanding overview What is Document Understanding? DU Process Studio Template Components of DU Framework Q&A Speakers: Sebastian Seutter, Senior Industry Practice Director, UiPath, Inc. Priya Darshini, UiPath MVP RPA Solutions Architect Dzmitry Belanovski, Account Executive, UiPath, Inc.

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UiPath manufacturing technology benefits and AI overview

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