Intelliarts

💡Intelliarts helps companies leverage #BigData in business to extract useful insights and drive decision-making. Among other our big data-related service lines, we provide diverse #DataInfrastructure and data storage options. 👉Data infrastructure and storage. We rework existing or develop new data infrastructure from scratch based on your scalability, software, technology, and other requirements. Within the scope of data infrastructure and storage services, our engineers can: ✅Create data lakes ✅Create data warehousing solutions ✅Optimize existing data storage infrastructure ✅Set up disaster recovery and archiving ✅Conduct risk mitigation measures 👉Contact the Intelliarts team via the link below should you need assistance with big data infrastructure and storage solution development: https://lnkd.in/etNZXip6 #DigitalTransformation #Technology #IT #Development

As #AI becomes easier to access, the issue of altered content and widely spread #Deepfake is becoming really pressing. ✅New research led by Binghamton University, State University of New York indicates there’s a solution — frequency domain analysis. These techniques look for anomalies that could indicate that content is AI-generated. It works like searching for peculiar AI ‘fingertips’ in images and videos. 💡For example, for image generation, AI systems use the method known as upscaling or simply pixel cloning. This and other image-generation artifacts are what domain analysis techniques look for. 👉"When you take a picture with a real camera, you get information from the whole world. With generative AI, images focus on what you ask it to generate. There's no way you can describe, for example, what the air quality is or how the wind is blowing or all the little things that are background elements." - Professor Yu Chen from the Department of Electrical and Computer Engineering. However, once a deep fake detector is developed, the #AITool takes anomalies into account and fixes them. So, keeping up with innovations can be challenging. 👉For more information on detecting altered content, access the original research at the following link: https://lnkd.in/e6jHjFsN #Innovation #DigitalTransformation #Technology #Science

After the #ChatGPT release in November 2022, everyone became more aware of the vast potential of Large Language Models (#LLM). 💡But ChatGPT by OpenAI is not the only such solution on the market. 👉Here’s how the best LLMs may be categorizied by their intended usage: #1 Customer support, automation, and сonversational #AI: GPT-4, LaMDA, and Claude v1. #2 Creative content generation: BARD and Cohere. #3 Multilingual processing, translation, and global communication: PaLM and Bloom. #4 Advanced data analysis: Megatron-Turing NLG and Jurassic-1 Jumbo. #5 Sentiment analysis and research applications: LLaMA, Bloom. #6 Multimodal applications (text and image): Wu Dao 2.0. ✅Models can be used for other purposes but listed and utilized interchangeably. Yet, this way their performance may be somewhat compromised. 👉Looking to explore all pros and cons as well as distinctive characteristics of all best LLMs? Follow the link below to access the corresponding post by Intelliarts: https://lnkd.in/ej3rYzaN #Innovation #MachineLearning #ArtificialIntelligence

#GenAI has become an incredibly widespread technology. ✅Their examples are more diverse than ChatGPT only, with Claude AI being probably the second most popular Gen AI worldwide. 👉Claude vs ChatGPT is a widely discussed comparison. In the latest blog post, our AI expert provides an overview of CHatGPt and Claude AI and compares them by technical benchmarks and use cases. Access the post at the following link: https://lnkd.in/dkK_daMh #DigitalTransformation #Innovation #GenerativeAI

With the rise of multi-purpose #GenerativeAI, a concept of #PromptEngineering emerged. For now, IT specialists continuously work on improving prompts for process automation. However, this role may become obsolete in several years due to the work on evolving #AI systems. 👉Scroll the carousel to see excerpts from the discussion between Tim Hwang, an IBM podcast host and DiscalNote CEO, Kaoutar El Maghraoui, a Principal Research Scientist, and Kate Soule a Senior Manager at IBM research on the state of AI systems and the future of prompt engineering: 💡You can access the podcast “NEO 1X robot, OpenAI chips, The AI Scientist, and the future of prompt engineering” by following the link below: https://lnkd.in/eYzDzTAK #Innovation #DigitalTransformation #Business

With the rise of #AI and Ml-assisted text translation, the time that workers spend on translation-related tasks has been reduced from 5-20 minutes to a few seconds. The technology is utilized in raw translation, customization, and editing phases by both specialized firms and many other businesses. ✅In one of our cases, we built an #ML driven translation web portal for Dell EMC. The resulting solution delivers a high degree of automation and streamlined performance, as well as a multilingual experience for users.   👆We hope you’ll enjoy the video that delves deeper into the case study by Intelliarts. Feel free to contact the Intelliarts team directly by following the below link: https://lnkd.in/etNZXip6 #Innovation #DigitalTransformation

👉Solar panel forecasting is the use of data supplied by power meters in equipment and complementary data, such as weather conditions, to predict power generation. 👆You can see a typical flow of solar panel forecasting with ML in the infographic attached. ✅Who may need #ML enabled solar panel forecasting and why? This solution targets mostly manufacturers utilizing solar panels to power up their plants and #RenewableEnergy companies, as they are affected by potential solar panel underperformance the most. However, on a smaller scale, any user of solar panels can put such an ML solution to good use.💡The most value from solar power prediction lies in estimating what power generation a user can expect given the time of a day, seasonality, weather, etc. 👉Explore AI in renewable energy usage and statistics by following the link below: https://lnkd.in/e8VpVjEQ #DigitalTransformation #Innovation #Business

The Intelliarts team is excited to share that we were listed as one of the top 11 big data consulting firms. 🎉This recognition by Jake Jorgovan, a B2B growth expert and entrepreneur, shows that we are already well positioned on the global level as a trusted #SoftwareDevelopment firm. Intelliarts would like to thank Jake Jorgovan for this acknowledgment! We are working hard to live up to the high expectations of our customers and partners.✅ 👉You can access the list of the top 11 #BigData consulting companies in the corresponding post published on Jake Jorgovan’s expert blog. https://lnkd.in/euxbtjsC #BigDataConsulting, #Development #Awards #IT

#IoT finds broad usage in businesses and in consumer electronics. The usage of smart devices in the Electric Vehicles (EVs) industry is one of the recent trends, which spread at a fast tempo. Since it’s predicted that by 2025, 90% of new cars will be connected via IoT, the time is just right to delve into the usage of IoT in EVs. 👉In the latest blog post, our expert provides key features and benefits of leveraging IoT in EVs. He shares the tech stack and reveals common challenges and solutions to them. Explore the post at the following link: https://lnkd.in/eEBK-egt #Energy #DigitalTransformation #Innovation #SmartEnergy

💡Intelliarts helps companies leverage innovative ML technologies to their benefit. Among these, computer vision is used to identify objects in images to power up software solutions. For this, we provide diverse #ML and #SoftwareEngineering services. 👉Computer vision software development. We cover the development of the components of computer vision software end-to-end. Within the scope of computer vision software development, our engineers help you create: ✅Image classification systems ✅Object detection systems ✅Instance segmentation systems ✅Facial recognition systems 👉Contact the Intelliarts team via the link below should you need assistance with computer vision software development: https://lnkd.in/etNZXip6 #DigitalTransformation #Technology #ComputerVision #IT #MachineLearning