The Software Development Lifecycle (SDLC) model is a conceptual framework that describes all activities in a software development project, from planning to maintenance. This process is linked to different models, each with a variety of tasks and activities.

If you want to know about the definition and uses of artificial intelligence, which is becoming more and more popular, let's examine together the answers to the questions of what artificial intelligence is and where it is used.

Vertex AI Search and conversation use cases provide a clear opportunity for organizations to quickly gain and leverage experience with productive AI technologies.

Informatica, a global leader in Data Management solutions, transforms the data management experience of organizations through Generative AI-powered data management with CLAIRE GPT platform.

With CLAIRE GPT powered by Informatica CLAIRE® AI technology, Informatica is revolutionizing data management. This AI-powered platform makes data management simpler, faster and more accessible. It helps you in many areas, from data democratization to self-service data delivery, from integrated data experience to AI-powered innovations.

Database health screening is a comprehensive check and analysis of the database. The goal is to identify and predict possible causes of performance loss and potential interruptions. The scan result includes a detailed, clear analysis of the database environment and specific recommendations for improvement.

Data federation involves the creation of a virtual database that maps many different resources of an organization and makes them accessible through a one-stop interface. Unlike other technologies, the data federation leaves all data at its source.

Federation reveals the value of your data by creating a connection between multiple data sources. This powerful approach opens the doors to a world of possibilities by offering businesses more choices and more flexibility.

As big data piles continue to evolve and data sources change, how can data users keep spinning the wheels of the system despite IT outages? The answer to this question lies in the concept that we call the 'consumption layer'.

In this content, we'll explore how Google Cloud data analytics, machine learning, and AI solutions can help your business run smoother and faster with predictive analytics.

Accurate demand forecasting for retailers, supply chain and consumer goods organizations has always been a key driver of efficient business planning, inventory management, streamlined logistics, and customer satisfaction. Leveraging Vertex AI Forecast, you can achieve high yields by incorporating machine learning into current demand forecasts to achieve high forecast accuracy.

Discover now how you can mitigate the negative effects of the upcoming Google Universal Analytics closure.

Providing a highly personalized shopping experience for online shoppers is crucial to building customer loyalty. Product recommendations in particular are an effective way to personalize the customer experience by helping customers discover products that suit their tastes and preferences.

Google Cloud is working with SAP on many initiatives that deliver results for its customers and help them manage smarter, more sustainable companies. In this context, we will highlight three of these important initiatives and how they help address global supply chain issues.

Python is a practical and functional programming language that can be used for many purposes. It is mainly used in areas such as data analysis, machine learning, AI (artificial intelligence), game development, among others.

Marketing data warehouse solutions allow you to provide them with timely, targeted and personalized advertising experiences while respecting the privacy of your users. This post is for data engineers, data scientists, or IT members who support marketing analytics.

MLOps drives results by focusing on the entire lifecycle of the design, implementation and management of Machine Learning models as a solution to problems in AI applications in organizations, and benefits organizations in Model Development, Model Operation and System Operation.

Many companies respond to the pressure of growth by cutting their customer service budgets. This gives you the opportunity for short-term relief but is a temporary solution that has different results in the long term. After all, retaining a customer requires less cost than acquiring a new one.

Landing Zone is a standardized, repeatable way to deploy Google Cloud resources. Landing Zone, also called cloud foundation, is a modular and scalable configuration that allows organizations to adopt Google Cloud for their business needs.

Alteryx Location Intelligence is a powerful tool for analyzing and visualizing spatial data. This solution enables organizations to easily analyze spatial data in a variety of ways to make more informed decisions.

In order for data and analytics transformation programs to be sustainable and effective, the ultimate goal must be to implement infrastructures that can use data in every tactical and strategic decision.

Informatica offers AI-powered cloud-native data integration that helps you create sequential layouts in a multicloud environment.

At Komtaş, we are proud to have gained Google Cloud's Data and Analytics Expertise. With this expertise, we are pleased to have proven our success in building customer solutions in the field of data analytics with Google Cloud technology.

“The future of coding is to not code at all.” This phrase belongs to Chris Wanstrath, CEO of GitHub, and in fact briefly summarizes the essence of code-free programming. No-Code, as the name implies, allows you to develop applications without using code.

Web 3.0. It is the continuation of Web 2.0 and therefore the third and final stage of internet development.

Informatica Cloud Data Integration allows you to do all these processes faster, more agile and flexible.

GPT-3 is a language model that predicts the rest of the text based on a small amount of text, supported by “Artificial Intelligence (AI)”. GPT3, which stands for Generative Pretrained Transformer 3, is ideal for making simple examples, summaries, or translating texts.

Google today introduces a number of key new features in its AI product line to support its most capable and generic model ever, Gemini. Google Cloud supports the next generation of AI-powered agents in every industry, enabling organizations to build, use, and successfully adopt AI to support their digital transformation.

This year's Google CloudNext event, which took place on April 9-11, featured many exciting innovations and services related to Google Cloud technologies. As we did last year at the Google Cloud Next '23 event, we have summarized these innovations for you below.

This year's Google Cloud Next event, which took place on August 29-31, featured many exciting innovations and services related to Google Cloud technologies. We have summarized the highlights for you.

This article explains in detail how you can use Google Cloud to help transform marketing analytics in your organization by building audience segments, gathering marketing insights, and improving your customer experience.

Forrester Research has selected Google Cloud as the leader in its evaluation of the “Functions-as-a-Service (FaaS)” platform. Discover the evaluation criteria in the report, Cloud Functions, and all the benefits it provides to organizations today.

Disaster recovery is the ability to restore access and functionality to an organization's IT infrastructure after a catastrophic event, whether caused by natural or human action (or error). Google Cloud, including Cloud Storage, offers many solutions that can be used as a building block when creating a safe and stable disaster recovery plan.

At first glance, some similarities between the Crosser Edge Intelligence solution and Node-RED are noticeable. In this blog post, we have tried to outline the similarities between Crosser's Edge Intelligence solution for Industrial IoT and Node-RED, the key differences, and the aspects in which Crosser excels.

One of the top 10 strategic technology trends of the next 10 years is identified by Gartner as the “Digital Twin”. By 2025, digital twins are expected to be deployed to more than 500 cities around the world.

We will discuss what e-commerce migration consists of, what issues it addresses, and talk about the “E-commerce Migration” solution, which is offered exclusively for the retail sector.

By bringing up the concept of Digital Currency, we explain why it is important, its difference from cryptocurrency and the conditions of use from the consumer point of view, we raise the importance of the Digital Turkish Lira from various perspectives.

While digital transformation is at the top of many institutions' priorities, it is not only changing the way organizations do business, but it is also transforming it.

As more data is collected about the business, it becomes even more important to democratize access to that information. While many tools offer in-app statistics and visualizations, centralizing data sources for cross-platform analytics allows everyone in the organization to get an accurate picture of the entire business.

Exponentially increasing insights from data is critical to the transition to Enterprise AI, and it's a matter of scale — using more available data faster for more data projects. This cannot happen without expanding the scope of people who have access to and work with data on a daily basis.

We'll learn the answers to what DataOps is and why it matters, and explore the conveniences and advantages DataIKU provides in DataOps processes.

Data Mesh is based on four core concepts, the first being domain-oriented ownership and architecture. In this blog, we'll explore what this means and go into the details of a fundamental shift that supports a decentralized data ecosystem.

Discover all the benefits of Log Analytics, enabling software, SRE, DevOps, and Operations teams to gain insights faster while keeping costs under control.

One of the 12 most strategic technology trends of 2022 identified by Gartner, “Data Mesh/Fabric” brings a new approach to big data applications today, as the industry 4.0 transformation is in full swing.

Enterprise data warehouses play a central role in an organization's decision-making process. When choosing a cloud-based data warehouse, it is crucial to evaluate how the solutions work and to have a deep understanding of the current use cases that your cloud data warehouse should support.

Productive AI offers the opportunity to leverage its data more effectively and deeply, including dialogue applications that can answer complex questions, produce accurate summaries by synthesizing many sources, and help people get to the information they need faster.

Whether you're automating data preparation and consolidation, or rapidly building machine learning models, analytics automation expands the boundaries of what's possible for data workers everywhere.