Data Science Automation Company Overview

Arocom is a consulting and solution engineering company with expertise in providing engineering services for AI & Machine Learning, Data Operations & Analytics, MLOps and Cloud Computing. Our clients include companies within biotech, drug discovery, therapeutics, manufacturing, retail and startups. Our consultants are best in their skills and offer hands-on talent to our clients in achieving their goals.

This document describes Liv Up, a platform that aims to maximize data value by giving business analysts autonomy over data pipelines while maintaining responsibility and transparency. The key goals are to enable fast decision making using domain knowledge, reduce communication costs, and build a scalable data architecture. The principles involve immersing analysts in business context, treating data as a first-class citizen, and giving autonomy while holding analysts responsible for data quality. The platform demonstrates how raw data is transformed and modeled in BigQuery and data transformations are managed through Dataform.

- The document discusses ModernTech Mechanical's 3D design and manufacturing solutions and services, and a customer's current CAD software issues with importing and exporting files between Inventor and AutoCAD. - It demonstrates SolidWorks software and highlights benefits like faster product development, easier manufacturing, and design validation tools like simulation. - ModernTech's services are described like training, support, staffing assistance, 3D printing, and it lists customers in industries like automotive, medical, and consumer products. Next steps may include attending a product demo or developing an implementation schedule.

Patni Computer Systems provides IT services and solutions with a focus on quality, security, scalability, and efficiency based on over 30 years of experience. It has a mature global delivery model with processes, people, and infrastructure to ensure excellence in delivery. Key aspects of its approach include strong industry and domain expertise, a focus on business value, flexibility, and single point accountability.

This document provides an overview of InfoTrellis Services. It discusses InfoTrellis' history and success timeline since 1999, services portfolio including Master Data Management, Data Integration, Big Data, and Data Quality services. It describes InfoTrellis' SMART MDM delivery methodology, roles and responsibilities, and leadership team. It also outlines various service accelerators including testing and validation tools to help clients realize benefits from their programs faster.

Vmoksha Technologies is an IT outsourcing company headquartered in Bangalore, India with offices in the US, Europe, and Asia Pacific. It provides services including application development, infrastructure management, cloud computing, mobility, testing, and staff augmentation. Vmoksha's mission is to help customers achieve ROI goals and competitive advantage by measuring its success based on the value provided.

Vmoksha technologies corporate overview. This will give insight about our core services offerings, people, culture, vision, mission, client, contacts etc.

Code-in-motion is a design, manufacturing, sales and service organization that focuses on product identification systems, labeling systems, robotic systems, machine vision systems, and software development. They provide turn-key automation solutions for industries such as pharmaceuticals and medical devices. Code-in-motion has over 200 years of cumulative industry experience and expertise in areas like labeling, laser marking, robotics, vision inspection, and controls. They aim to increase customers' production yields and profits through customized, integrated automation systems.

PLAY TO WIN In Business, As In Chess, Forethought Wins Showcasing exemplary stories of success where channel partners have gone to great lengths to implement innovative solutions. Acclaiming those partners who have risen to the challenges of the digital era and transformed their business to a solutions offering. Inspiring channel businesses to become value-added providers and trusted allies to their customers. Stories that made a Difference.

Prakash Software Solutions Pvt. Ltd. is a software outsourcing company incorporated in 2000 in Vadodara, India. It has over 400 employees across various group companies involved in software, chemicals, telecom and other industries. Prakash aims to become a global leader in software outsourcing and leverages its skills and experience to provide innovative solutions to enhance customer competitiveness. It has a diverse client portfolio including companies in the US, Europe, Asia and other regions.

UltramaxIT is an analytics training and consulting company that offers various analytics courses and services to help businesses utilize data and gain insights. It has over 20 years of experience working with over 300 corporate clients and training over 20,000 students. UltramaxIT partners with leading analytics companies and has a global presence and advisory board to bring the best analytics solutions and training to clients worldwide.

Cygnet Infotech is a Microsoft and Oracle Gold Certified Partner with CMMi Level 3, ISO 9001 and ISO 27001 accreditation. We are providing Custom Software Development and IT solution services since last 14+ years and we have clients across 25+ countries worldwide.

With 10+ websites running 100% on cloud, Fitness & Lifestyle Group see over 5 million visitors each month. Hear how the Fitness & Lifestyle Group is proactively protecting the digital user experience of their users, and achieved a 60% optimisation of workloads through Dynatrace enterprise cloud monitoring, powered by A.I.

Welcome to Sphere Info Solutions Pvt. Ltd. Sphere Info Solutions is an Information Technology company, providing end-to-end IT Services & Solutions to all our SMB and Enterprise Customers. We have a Customer-Centric approach and we value our people being a People-Oriented organization.

The document discusses Erudine Behavior Engine software, which allows systems to be authored and evolved at low cost and reduced risk by capturing tacit knowledge and system behavior. It addresses how Erudine solves issues with traditional development by automating the capture and resolution of conflicts that normally require human mental modeling. Examples are given of projects using Erudine that achieved faster development time, lower costs, and legacy system modernization.

Title DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed. Synopsis ● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure. ● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities. ● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product. ● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills. ● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products. ● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.

Data-Driven AI is a Microsoft Gold Partner specialising in building modern data platforms and advanced analytics consulting. We deliver innovative data and AI solutions to help organisations build a data-driven culture and empower their business decisions with insights.

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The iMMS is a unique application that is synchronizing both user experience and copyrights while providing services like online music management, legal downloads, artists’ management. There are several other applications available in the market that either provides some specific services or large scale integrated solutions. Our product differs from the rest in a way that we give more power to the users remaining within the copyrights circle.

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In this slide, we'll explore how to leverage internal notes within Odoo 17 POS to enhance communication and streamline operations. Internal notes provide a platform for staff to exchange crucial information regarding orders, customers, or specific tasks, all while remaining invisible to the customer. This fosters improved collaboration and ensures everyone on the team is on the same page.

Pre-trained Large Language Models (LLM) have achieved remarkable successes in several domains. However, code-oriented LLMs are often heavy in computational complexity, and quadratically with the length of the input code sequence. Toward simplifying the input program of an LLM, the state-of-the-art approach has the strategies to filter the input code tokens based on the attention scores given by the LLM. The decision to simplify the input program should not rely on the attention patterns of an LLM, as these patterns are influenced by both the model architecture and the pre-training dataset. Since the model and dataset are part of the solution domain, not the problem domain where the input program belongs, the outcome may differ when the model is trained on a different dataset. We propose SlimCode, a model-agnostic code simplification solution for LLMs that depends on the nature of input code tokens. As an empirical study on the LLMs including CodeBERT, CodeT5, and GPT-4 for two main tasks: code search and summarization. We reported that 1) the reduction ratio of code has a linear-like relation with the saving ratio on training time, 2) the impact of categorized tokens on code simplification can vary significantly, 3) the impact of categorized tokens on code simplification is task-specific but model-agnostic, and 4) the above findings hold for the paradigm–prompt engineering and interactive in-context learning and this study can save reduce the cost of invoking GPT-4 by 24%per API query. Importantly, SlimCode simplifies the input code with its greedy strategy and can obtain at most 133 times faster than the state-of-the-art technique with a significant improvement. This paper calls for a new direction on code-based, model-agnostic code simplification solutions to further empower LLMs.

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The project "Social Media Platform in Object-Oriented Modeling" aims to design and model a robust and scalable social media platform using object-oriented modeling principles. In the age of digital communication, social media platforms have become indispensable for connecting people, sharing content, and fostering online communities. However, their complex nature requires meticulous planning and organization.This project addresses the challenge of creating a feature-rich and user-friendly social media platform by applying key object-oriented modeling concepts. It entails the identification and definition of essential objects such as "User," "Post," "Comment," and "Notification," each encapsulating specific attributes and behaviors. Relationships between these objects, such as friendships, content interactions, and notifications, are meticulously established.The project emphasizes encapsulation to maintain data integrity, inheritance for shared behaviors among objects, and polymorphism for flexible content handling. Use case diagrams depict user interactions, while sequence diagrams showcase the flow of interactions during critical scenarios. Class diagrams provide an overarching view of the system's architecture, including classes, attributes, and methods .By undertaking this project, we aim to create a modular, maintainable, and user-centric social media platform that adheres to best practices in object-oriented modeling. Such a platform will offer users a seamless and secure online social experience while facilitating future enhancements and adaptability to changing user needs.

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Image recognition, which comes under Artificial Intelligence (AI) is a critical aspect of computer vision, enabling computers or other computing devices to identify and categorize objects within images. Among numerous fields of life, food processing is an important area, in which image processing plays a vital role, both for producers and consumers. This study focuses on the binary classification of strawberries, where images are sorted into one of two categories. We Utilized a dataset of strawberry images for this study; we aim to determine the effectiveness of different models in identifying whether an image contains strawberries. This research has practical applications in fields such as agriculture and quality control. We compared various popular deep learning models, including MobileNetV2, Convolutional Neural Networks (CNN), and DenseNet121, for binary classification of strawberry images. The accuracy achieved by MobileNetV2 is 96.7%, CNN is 99.8%, and DenseNet121 is 93.6%. Through rigorous testing and analysis, our results demonstrate that CNN outperforms the other models in this task. In the future, the deep learning models can be evaluated on a richer and larger number of images (datasets) for better/improved results.

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