DEV Community: Ajay Kumar

How Do AI Consulting Services Drive Business Innovation and Growth?

Ajay Kumar — Wed, 02 Jul 2025 16:52:19 +0000

AI and ML consulting helps organizations change traditional business models with the infusion of artificial intelligence. From predictive analytics and intelligent automation to customer segmentation and recommendation engines, AI solutions provide actionable insights that fuel smarter decision making. Whether it’s optimizing supply chain operations or enhancing user experience, artificial intelligence consulting services offer the technical expertise and strategic vision needed to solve real world business problems.
Role of AI Consulting Services in Business Innovation?
AI consulting services help organizations rethink outdated processes by integrating advanced AI driven solutions. From customer experience to product development, artificial intelligence introduces automation, adaptability, and predictive intelligence—allowing businesses to innovate faster and smarter. These services provide strategic guidance and implementation support that accelerates digital transformation while keeping business goals in focus.
AI and ML Consulting Improves Decision Making
AI and ML consulting equips organizations with intelligent tools and data models that deliver actionable insights in real time. Whether it's financial forecasting or customer churn prediction, machine learning models offer a competitive advantage through data driven strategy.
Why Are Machine Learning Consulting Services Essential for Growth?
Growth today depends on agility and accuracy, two things machine learning consulting services are designed to deliver. ML consultants at Dataplatr help build, train, and scale models that automate decision processes and uncover new revenue opportunities. These services also ensure your team understands and adopts ML in ways that drive real business outcomes.
Artificial Intelligence Consulting Services Reducing Operational Costs
Through intelligent automation and process optimization, artificial intelligence consulting services significantly cut down on manual efforts and inefficiencies. From automated reporting to smart inventory management, AI helps businesses reduce costs while increasing productivity and accuracy across departments.
What makes Dataplatr a Trusted AI and ML Consulting Partner?
Our expertise in AI and ML consulting is backed by deep industry knowledge and a commitment to delivering measurable impact. We provide from AI strategy development to custom model deployment ensuring that our clients not only adopt AI but truly benefit from it. Our collaborative approach empowers businesses to scale innovation sustainably.

Maximize Insights with a Fractional Data Analyst: The Smart Way to Scale your Analytics

Ajay Kumar — Tue, 01 Jul 2025 17:09:26 +0000

A Fractional Data Analyst brings specialized analytics expertise to your business on a part-time or project-based model. This approach allows you to access deep analytical skills without the cost and complexity of hiring a full-time employee. Whether you're exploring customer behavior, building dashboards, or improving reporting accuracy, a fractional analyst delivers high-impact insights when you need them most.
Benefits of a Fractional Data Team?
A fractional data team offers expertise across data strategy, visualization, engineering, and analysis. Unlike hiring one generalist, outsourcing to a fractional team gives you access to multiple specialists each contributing unique value to your data ecosystem. This collaborative model is ideal for dynamic organizations that need versatility, fast turnaround times, and reliable insights.
Why Is Data Analytics Outsourcing a Smart Move for Growing Companies?
Data analytics outsourcing enables organizations to scale their data capabilities while reducing operational overhead. By partnering with external experts, businesses avoid the cost of recruiting, onboarding, and retaining full-time analysts. Instead, they gain instant access to skilled professionals who can jump into projects with agility and deliver value quickly.
How Do Outsource Data Analytics Services Improve Efficiency?
By using outsource data analytics services, you streamline your analytics function and focus internal resources on core business functions. External analysts bring proven frameworks, tools, and methods to accelerate analytics outcomes. This model reduces delays, improves data accuracy, and helps you maintain a competitive edge through informed decision-making.
Why Choose Dataplatr for Fractional Analytics Support?
At Dataplatr, we offer fractional data analysts and teams that integrate seamlessly into your business. Whether you need support for a one-off project or ongoing analytics advisory, our experts deliver actionable insights, scalable strategies, and measurable outcomes.
We help you:
Enhance decision-making with custom dashboards and reports
Identify trends and patterns through advanced analytics
Align data with business KPIs
Scale your analytics practice flexibly and affordably
Ready to Outsource Data Analytics Services?
Outsource data analytics services through Dataplatr and empower your teams with fast, flexible, and strategic data support. Our fractional data team model is designed for agility, results, and long-term impact.

How Do DevOps Service Providers Accelerate Software Delivery?

Ajay Kumar — Tue, 01 Jul 2025 16:48:52 +0000

DevOps consulting services help businesses assess their current infrastructure, identify problems and implement a customized roadmap that aligns with business goals. From automated testing and CI/CD pipelines to cloud-native infrastructure, these services drastically reduce time-to-market while enhancing product reliability.
DevOps as a Service: A Scalable, On-Demand Model
DevOps as a service (DaaS) offers a cloud-based solution that integrates tools across the software development lifecycle. By providing infrastructure automation, monitoring, and container orchestration on demand, it eliminates the need for heavy internal investment. Companies gain the agility to scale quickly while maintaining consistent code quality and operational stability.
Role of DevOps Consulting Services in Streamlining Workflows
DevOps consulting services bring structured guidance to modernize your development lifecycle. Whether your team is struggling with long release cycles, siloed operations, or frequent deployment failures, DevOps consultants assess and optimize your current workflows. They implement CI/CD pipelines, infrastructure as code (IaC), and automation strategies that improve team productivity.
Why Partner with DevOps Service Providers?
Leading DevOps service providers like Dataplatr bring deep expertise in modern toolchains, microservices architecture, and cloud environments. Their strategic guidance helps engineering teams adopt best practices, improve collaboration, and reduce manual tasks.
How Do DevOps Service Providers Improve CI/CD Pipelines?
DevOps service providers specialize in building robust Continuous Integration and Continuous Delivery (CI/CD) pipelines. By building, testing, and deploying processes, they reduce human error and increase deployment frequency. These pipelines allow code to move from development to production seamlessly, delivering times and enhancing customer satisfaction.
The Value of DevOps Consulting Firms
DevOps consulting firms don’t just deploy tools, they drive cultural change. They enable continuous integration, delivery, and feedback loops that promote faster iteration and innovation. Whether it’s managing infrastructure as code, optimizing container usage, or implementing zero-downtime deployments, these firms empower organizations to achieve high-velocity software delivery with minimal risk.

Types of Conversational AI: Drive the Future of Digital Interaction

Ajay Kumar — Sat, 28 Jun 2025 13:34:31 +0000

Conversational AI is changing how businesses engage with customers, employees, and partners. By enabling human like interactions at scale, these technologies are reshaping service delivery, marketing, and internal operations. Let’s explore the types of conversational AI that power modern communication and the challenges of conversational AI organizations must address to harness its full potential.
What Are the Types of Conversational AI?
Chatbots - Chatbots are rule based conversational systems designed to follow pre programmed scripts. They are ideal for handling frequently asked questions, guiding users through menus, and providing instant responses in structured scenarios.
Virtual Assistants - Virtual assistants, like Siri, Alexa, or Google Assistant, use advanced natural language processing (NLP) to understand context, learn from interactions, and deliver more dynamic and flexible responses. These assistants support tasks ranging from setting reminders to controlling smart devices.
Voice AI Systems - Voice AI solutions are designed to process and respond commands. They are increasingly common in call centers, in-car systems, and smart home devices. This type of conversational AI focuses on speech recognition and synthesis to create seamless voice-first experiences.
Interactive Voice Response (IVR) Systems with AI - Modern IVR systems, enhanced with AI, move beyond traditional keypad inputs. They can understand natural language and handle queries, improving customer satisfaction in phone based support.
AI-Powered Messaging Agents - These agents work within popular messaging platforms (like WhatsApp or Facebook Messenger) to provide conversational support, marketing messages, or transaction assistance, integrating deeply with business processes.
Key Challenges of Conversational AI
While the potential is vast, there are several challenges of conversational AI that businesses must tackle:
Understanding Context: Conversational AI still struggles with slang, complex queries that require deep contextual understanding.
Data Privacy and Security: Handling sensitive user data demands robust security protocols to maintain trust and comply with regulations.
Integration Complexity: Seamlessly embedding conversational AI into legacy systems and diverse platforms can be technically demanding.
Bias and Fairness: AI systems risk reflecting biases present in their training data, which can lead to unfair or inappropriate responses.
From simple chatbots to sophisticated virtual assistants, the types of conversational AI available today offer powerful tools for businesses to enhance engagement and efficiency. However, addressing the challenges of conversational AI is critical for delivering reliable, ethical, and value-driven experiences. At Dataplatr, we help businesses design, implement, and scale conversational AI solutions tailored to their unique needs. Contact us today to explore how conversational AI can transform your operations.
Originally published at https://dataplatr.com/blog/conversational-ai/?utm_source=blog_submission&utm_medium=devm

Why Partner with a Data Visualization Company for Your Analytics Needs?

Ajay Kumar — Sat, 28 Jun 2025 13:15:42 +0000

Data visualisation services go beyond creating charts and graphs. They transform raw data into interactive dashboards, dynamic reports, and intuitive visuals that tell the story behind your data. Whether you’re dealing with sales performance, customer behavior, or operational metrics, effective visualization ensures stakeholders can grasp insights at a glance. At Dataplatr, we help businesses harness these services to make data more accessible, understandable, and impactful.
The Role of Data Visualization Consulting
Every organization has unique data needs. That’s where data visualization consulting steps in. By working with experts in data visualization consulting services, businesses can design and implement visualization solutions tailored to their specific goals. From selecting the right tools to building scalable dashboards, data visualization consulting ensures your analytics efforts are aligned with your business strategy. Dataplatr’s consultants specialize in crafting solutions that not only look good but also drive real business value.
Why Choose a Data Visualization Company Like Dataplatr?
Expertise in Modern Visualization Tools: As a leading data visualization company, Dataplatr brings deep knowledge of platforms like Tableau, Power BI, Looker, and custom visualization frameworks.
Tailored Solutions: Our data visualization consulting services are designed to fit your unique data infrastructure and reporting needs.
Actionable Insights: We help turn complex data into meaningful visuals that support faster, more confident decision making.
Scalability: Our solutions grow with your business, ensuring your analytics capabilities.
Why Data Visualization Consulting Matters
Every business has unique data challenges, and data visualization consulting provides tailored solutions to address them. Expert data visualization consulting services assess your existing data infrastructure, reporting tools, and KPIs to create custom visualization strategies. With Dataplatr’s consulting expertise, organizations can adopt the right tools.
Start Achieving the Power of Your Data with Dataplatr
Partnering with a trusted data visualization company helps businesses uncover hidden trends, monitor KPIs in real time, and foster a culture of data driven decision making. With Dataplatr’s data visualisation services and data visualization consulting, your organization can move beyond static reports to dynamic analytics that inspire action.

How Can Cloud Data Warehouse Services Drive Cost Efficiency and Growth?

Ajay Kumar — Sat, 28 Jun 2025 12:58:51 +0000

Cloud data warehouse services offer a cost efficient alternative to traditional on-premise data warehouses. With cloud data warehouse solutions, you only pay for the storage and computing power you actually use, helping to avoid unnecessary capital expenditure on hardware and maintenance. By working with cloud data warehouse consulting services, businesses can design optimized data strategies that reduce query processing costs, improve performance, and eliminate redundancies.
How Do Cloud Data Warehouse Solutions Support Easy Growth?
Growth often means more data, more users, and more complex queries. Traditional data warehouses can struggle to keep up, requiring costly upgrades and additional infrastructure. With cloud data warehouse services, storage and computing power can be adjusted on demand. This means your data infrastructure grows with your business, without the delays and expenses of physical expansion. Data warehouse consulting experts help ensure that your architecture is designed for smooth scaling, so you can focus on driving innovation and serving customers without worrying about capacity limits.
Why Is Cloud Data Warehouse Consulting Important for Cost-Effective Data Management?
The transition to cloud-based data warehousing is not just about moving data, it’s about transforming how your organization uses that data for decision-making. Cloud data warehouse consulting services provide the expertise needed to choose the right tools, platforms, and architectures that match your business objectives.A trusted data warehouse consulting partner like Dataplatr helps you avoid common pitfalls, optimize data pipelines, and implement cost-saving measures such as query optimization and data partitioning. The result? A leaner, more efficient data warehouse that supports real-time insights at a lower cost.
The Role of Data Warehouse Consulting in Driving Success
Our cloud data warehouse consulting services help you design, implement, and manage solutions tailored to your unique needs. From choosing the right cloud platform to optimizing performance and ensuring security, expert guidance ensures your cloud data strategy delivers measurable business value.
How Can Dataplatr’s Cloud Data Warehouse Services Help Your Business?
We deliver cloud data warehouse solutions that are built around your unique business needs. Our cloud data warehouse consulting services ensure that your data warehouse is not only cost-efficient but also scalable, secure, and high-performing. From designing your architecture to ongoing optimization, we help you achieve the full potential of cloud data warehousing also driving smarter decisions, lowering costs, and supporting business growth.

What Are the Key Benefits of Using a Data Analytics Accelerator?

Ajay Kumar — Wed, 25 Jun 2025 16:55:31 +0000

Businesses are flooded with vast amounts of data. Extracting timely and actionable insights from this data is crucial to staying ahead. A powerful solution designed to fast-track analytics initiatives and drive smarter decisions. Let’s explore the key benefits of using a Data Analytics Accelerator for your business.

Faster Time-to-Insights A Data Analytics Accelerator significantly reduces the time required to collect, process, and analyze data. With pre-built frameworks, templates, and automated pipelines, businesses can bypass lengthy setup processes and focus on extracting insights that matter. This speed advantage helps organizations respond swiftly to market changes and opportunities.
Cost-Efficient Analytics Implementation By using Analytics Accelerators, businesses can avoid the high costs and complexities associated with building analytics solutions from scratch. A data accelerator simplifies deployment, reduces the need for teams, and minimizes expensive trial-and-error cycles. This means faster ROI on analytics investments.
Scalability and Flexibility A modern Data Analytics Accelerator offers flexible architectures that can scale with your business needs. Whether you’re dealing with structured or unstructured data, small datasets, or big data environments, these accelerators provide the adaptability required to support growth without constant re-engineering.
Best Practices and Proven Methodologies Analytics Accelerators come equipped with industry best practices, standardized processes, and proven methodologies. This ensures that your analytics workflows are optimized for accuracy, efficiency, and compliance right from the start.
Enhanced Collaboration and Self-Service Analytics A Data Analytics Accelerator promotes collaboration between business users, data teams, and leadership. With intuitive dashboards, reports, and visualization tools, decision-makers can access insights on demand without relying heavily on technical teams. This self-service capability empowers teams across the organization. Why Choose Dataplatr’s Data Analytics Accelerator? Our Data Analytics Accelerator is designed to help businesses achieve the full potential of the data. With robust frameworks, advanced automation, and scalable solutions, we help organizations reduce time-to-value and make data-driven decisions faster and smarter. If you’re ready to speed up your analytics journey, Dataplatr’s Data Accelerator is the right partner to drive your success.

From Data to Decisions: How AI Consulting Services Drive Success?

Ajay Kumar — Wed, 25 Jun 2025 16:22:15 +0000

AI consulting services help organizations transform raw, complex data into clear, actionable decisions. By combining data strategy with advanced artificial intelligence models, experts like Dataplatr enable companies to solve real business challenges, enhance efficiency, and gain competitive advantage.
The Role of Artificial Intelligence Consulting Services
Artificial intelligence consulting services enable organizations to integrate advanced AI solutions into their operations. From natural language processing and computer vision to predictive analytics, Dataplatr helps clients implement AI technologies that drive efficiency, innovation, and agility. Our team ensures AI models align with your business objectives and deliver the best outcomes.
What Value Do Machine Learning Consulting Services Provide?
Machine learning consulting services provide businesses with the expertise needed to design, build, and deploy models that deliver meaningful insights. At Dataplatr, we help organizations identify data patterns, predict outcomes, and improve decision-making accuracy. Our machine learning consulting services also focus on continuous model refinement to ensure long-term success and adaptability in a dynamic market.
Why Should Companies Invest in AI and ML Consulting?
Investing in AI and ML consulting helps businesses achieve the true potential of artificial intelligence and machine learning. From automating repetitive tasks to predicting future trends, AI and ML consulting services offer customized solutions that drive measurable outcomes. Our team ensures that AI initiatives align with your business goals while ensuring ethical, scalable, and cost-effective deployment.
How Can Artificial Intelligence Consulting Services Drive Business Success?
Artificial intelligence consulting services guide businesses through the complexities of AI adoption, from defining the strategy to implementing solutions that solve specific problems. Dataplatr partners with companies to create AI-powered systems that improve customer experiences, optimize operations, and fuel innovation.
Why Choose Dataplatr for AI and ML Consulting?
Dataplatr’s AI and ML consulting combines deep technical expertise with a focus on business impact. We provide end-to-end support, from AI readiness assessments and model development to deployment and ongoing optimization. Our mission is to help you turn your data into a strategic asset that drives growth and resilience.

What Is Data Mesh? Principles, Benefits, and Why It Matters Today

Ajay Kumar — Tue, 24 Jun 2025 17:20:59 +0000

Businesses often struggle with scaling their data architecture to keep up with rapid growth and complex needs. This is where Data Mesh comes in. But what is Data Mesh? In simple terms, it’s an approach to data architecture that treats data as a product and empowers domain teams to take ownership of their data. Unlike traditional centralized data lakes or data warehouses, a Data Mesh enables organizations to scale analytics capabilities efficiently while avoiding bottlenecks.
At Dataplatr, we help businesses adopt modern architectures like the Data Mesh so they can unlock the true potential of their data ecosystems.
What is Data Mesh?
Data Mesh is a modern data architecture approach that disperses data ownership. Instead of relying on a centralized data lake or data warehouse team, Data Mesh empowers individual business domains to take responsibility for their data as a product. This shift not only accelerates data delivery but also improves data quality and trust across the organization.
What Are the Core Data Mesh Principles?
The Data Mesh principles are designed to solve the challenges of monolithic data systems. These principles include:
Domain-oriented decentralized data ownership – Giving control to domain teams who are closest to the data.
Data as a product – Treating data as a valuable product with clear ownership, documentation, and SLAs.
Self-serve data infrastructure – Providing teams with tools and platforms to manage their data products independently.
Federated governance – Ensuring compliance, security, and interoperability without slowing down innovation.
Dataplatr offers guidance and implementation support to help organizations align with these Data Mesh principles, driving greater efficiency and collaboration.
Achieve the Power of Data Mesh with Dataplatr – Start Your Journey Today!
Ready to move beyond the limitations of centralized data platforms? Let Dataplatr guide you in adopting Data Mesh architecture that enables scalable, domain-driven data ownership. Discover the benefits of a data mesh and empower your teams to turn data into a true competitive advantage.
Originally published at https://dataplatr.com/blog/what-is-data-mesh/?utm_source=blog_submission&utm_medium=dev

How Can a Fractional Data Analyst Help You Achieve Actionable Business Insights?

Ajay Kumar — Tue, 24 Jun 2025 15:13:57 +0000

A Fractional Data Analyst offers flexible, on-demand support tailored to your company’s unique data challenges. Whether you need help setting up dashboards, generating reports, or uncovering actionable trends, a fractional data team outsource approach gives you the agility to scale analytics capabilities as needed.
Fractional Data Analyst Helps You Achieve Actionable Business Insights
Data analytics outsourcing provides on-demand expertise to help businesses turn complex data into clear, actionable insights. By engaging a fractional data team outsource model, you can access the right skills at the right time, without the cost of hiring full-time staff. This flexibility allows businesses to stay agile, make data-driven decisions faster, and gain a competitive edge in dynamic markets.
What Are the Key Advantages of Hiring a Fractional Data Analyst?
A Fractional Data Analyst can deliver several benefits, including:
Expertise on-demand — Get access to top-tier data analysts exactly when you need them
Cost savings - It helps by avoiding long-term hires and infrastructure costs
Custom insights — Tailored analysis aligned with your unique business goals
Flexible engagement — Scale your analytics efforts according to evolving priorities
No long term commitments — Pay only for what you need
By outsource data analytics services, you avoid the overhead of maintaining a full-time analytics team while still gaining powerful insights to drive your strategy.
How Dataplatr Supports Your Analytics Journey
At Dataplatr, we specialize in delivering data analytics services that empower businesses to harness the full potential of their data. Our Fractional Data Analyst solutions offer on-demand expertise to help you uncover actionable insights, improve decision-making, and achieve your business objectives. With our outsource data analytics services, you gain a trusted partner dedicated to turning your data into a strategic advantage.

How Do DevOps Consulting Services Help Your Automation Needs?

Ajay Kumar — Tue, 24 Jun 2025 14:47:04 +0000

Automation is no longer optional, it’s essential for businesses aiming to stay competitive and here DevOps consulting services play a transformative role. By bridging the gap between development and operations, DevOps consulting firms help organizations automate processes, enhance collaboration, and accelerate delivery pipelines.
Why DevOps for Automation?
DevOps isn’t just a set of tools, it enables continuous integration, delivery (CI/CD), and continuous testing. DevOps service providers like Dataplatr focus on designing tailored automation strategies that fit your business goals. From infrastructure as code (IaC) to automated monitoring and alerting, DevOps drives efficiency at every stage of your software lifecycle.
The Power of DevOps as a Service
When you choose DevOps as a Service, you gain access to cloud-ready automation frameworks, pre-built CI/CD pipelines, and best practices that reduce manual errors and downtime. This flexible, on-demand model allows businesses to scale automation without heavy upfront investments in expert team.
Key Benefits of DevOps Consulting Services for Automation
Faster Time-to-Market – Automate build, test, and deployment cycles to ship features faster.
Improved Reliability – With automated monitoring and proactive issue resolution, your systems stay resilient.
Cost Efficiency – Eliminate repetitive manual tasks and optimize resource usage.
Scalability – Scale infrastructure effortlessly through automated provisioning and configuration.
Achieve Automation Success with DevOps as a Service
Ready to eliminate manual work and accelerate your delivery pipelines? Dataplatr’s DevOps consulting services and DevOps as a Service solutions are built to help you automate with confidence. Let our experienced dataops consulting services design and implement the right automation strategy for your business.

How Does Conversational AI Work? A Beginner-Friendly Breakdown

Ajay Kumar — Fri, 20 Jun 2025 15:24:59 +0000

What is Conversational AI?
Conversational AI refers to a set of technologies that allow computers to simulate real-time human conversations. This encompasses chatbots, virtual assistants, and voice-enabled applications that use natural language processing (NLP), machine learning (ML), and speech recognition to understand and respond to user inputs in a natural manner.
Conversational AI is a branch of artificial intelligence that enables machines to simulate human like conversations using natural language processing (NLP), machine learning (ML), and speech recognition. These systems can understand, process, and respond to user queries in real-time.
How does Conversational AI Works
Conversational AI systems follow a multi-step process to deliver seamless interactions. It begins with input reception, where the system receives user input whether through text or voice. For voice-based interactions, automatic speech recognition (ASR) converts spoken language into text. The text input is then analyzed using natural language processing (NLP), which identifies the user’s intent and extracts relevant information. Once the system understands the input, it generates a suitable response using dialog management strategies that ensure the response is contextually relevant and coherent. The system then delivers the output to the user, either as text or, for voice interactions, through text-to-speech (TTS) technology that vocalizes the response. Importantly, conversational Artificial Intelligence systems continuously learn and improve, refining their performance over time based on past interactions and user feedback.
Benefits of Conversational AI
Implementing conversational Artificial Intelligence offers numerous advantages:
24/7 Availability - Systems operate around the clock, ensuring customers can access support at any time, regardless of time zones or business hours. This continuous availability enhances customer satisfaction by providing immediate assistance when needed. It also reduces the need for businesses to maintain large, round-the-clock human support teams, leading to cost savings.
Enhanced Customer Experience - By using vast amounts of data, conversational Artificial Intelligence can offer personalized interactions based on a customer's history and preferences. This level of personalization makes customers feel valued and understood, leading to increased satisfaction and loyalty. Additionally, AI can handle routine inquiries efficiently, freeing up human agents to focus on more complex issues.
Operational Efficiency - Automates time-consuming tasks such as ticketing, response generation, and case routing. This automation reduces wait times and allows human agents to concentrate on higher-value work, improving overall service efficiency. By handling multiple interactions simultaneously, AI systems can significantly reduce operational costs.
Scalability - AI-powered customer service agents can easily scale to handle increased volumes of customer interactions without compromising service quality. As case volumes rise, these systems can be adjusted to manage the additional load, ensuring consistent and reliable support. This scalability is ideal for businesses experiencing growth or seasonal spikes in customer inquiries.
Ready to Explore the Power of Conversational AI?
Discover how Conversational AI can transform your business communication. From improving customer support to automating workflows, Dataplatr’s expert solutions are designed to help you get started with ease. Let us guide you through what Conversational AI is, how it works, and how you can use its full potential.
Originally published at https://dataplatr.com/blog/conversational-ai/?utm_source=blog_submission&utm_medium=dev