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What is Microsoft Project Bonsai?
Microsoft Project Bonsai is a low-code AI platform that can be used to build AI-powered systems. These can provide guidance to operators or control industrial equipment. This allows optimisation of process variables, leading to an increase in production efficiency and reducing equipment downtime.
Read MoreWhat Is Microsoft Power Platform?
Microsoft Power Platform is a suite of services that consists of four key components: Power Apps, Power Automate, Power BI, Power Virtual Agents. Its ease-of-use help a broader range of people within your organisation create innovate solutions and access previously untapped value through smarter, time-saving automation solutions.
Read MoreWhat Is Azure Logic Apps?
If you are looking to automate the execution of your business processes across diverse apps and services, Azure Logic Apps is the cloud service you need. Logic Apps serves as a gate to other Azure services you may want to employ to your automation solution, delivering new and innovative integration scenarios.
Read MoreWhat is Dynamics 365 Field Service?
Field Service is a core customer engagment application on the Dynamics 365 platform and, like the CRM itself, is fully customisable and extensible. Field Service helps streamline business operations by offering smart scheduling capabilities and much more.
Read MoreWhat is Dynamics 365?
Dynamics 365 is a cloud-first platform providing CRM (customer relationship management) solutions for businesses. The platform takes a modular approach and offers a suite of products which can be tweaked and defined according to business needs.
Read MoreWhat is Google Cloud BigQuery?
BigQuery is a fully-managed, serverless cloud data warehouse that scales with your needs and is easy to set-up and manage. By adopting BigQuery, you can avoid the hassle of developing and managing the infrastructure needed to store large, complex datasets, allowing you to focus on gaining insight from your data.
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What is Python?
Python is a popular programming language with a wide variety of applications including data science, web development, scientific computing, and software development.
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What is Google Cloud?
Google Cloud is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. It provides pay-as-you-go access to vast data storage and computing capabilities and allows you to scale the costs as you grow.
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What is Azure?
Microsoft Azure is an ever-expanding set of cloud services to help your organisation meet your business challenges. It’s the freedom to build, manage and deploy applications on a massive, global network using your favourite tools and frameworks.
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What is Jupyter?
Jupyter is a suite of products that support data science and scientific computing, including Jupyter Notebook, JupyterHub and JupyterLab. It is 100% open-source software, free for all to use and released under the liberal terms of the modified BSD license.
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What are Azure Cognitive Services?
Azure Cognitive Services is a comprehensive family of AI services and cognitive APIs to help you build intelligent apps. Cognitive Services bring AI within reach of every developer – without requiring machine-learning expertise. All it takes is an API call to embed the ability to see, hear, speak, search, understand and accelerate decision-making into your apps.
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What is AWS (Amazon Web Services)?
Amazon Web Services is a cloud computing platform that provides customers with a wide array of cloud services. We can define AWS (Amazon Web Services) as a secured cloud services platform that offers compute power, database storage, content delivery and various other functionalities.
Read MoreWhat is IBM Cloud?
IBM Cloud™ is a robust suite of advanced data and AI tools, and deep industry expertise to help you on your journey to the cloud. There are more than 100 products available from IBM Cloud, across 16 categories.
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What is Power BI?
Power BI helps teams implement business intelligence with ease. It is relatively simple to start building dashboards of interactive visualisations from a range of data sources, so you can start to see actionable insights very quickly.
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What is the Internet of Things?
The internet of things is everywhere, and the best way to start explaining it is to have a look around you. If you have a wireless printer, a thermostat, or a virtual voice assistant, you have IoT devices within your home, and you can probably control them all from your tablet, phone or assistant, as they are all connected to the internet.
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What is AI?
Artificial intelligence is a technology that can ‘think’ in a human-like way. It is a diverse area of computer science that enlists tools such as machine learning and image processing to recreate and build upon the complex capabilities of the human brain.
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What is Amazon S3?
Amazon S3 is described by Amazon as “object storage built to store and retrieve any amount of data from anywhere”. Similar to Google Drive in that it can store many different data types, Amazon S3 makes it easy to meet the data needs of large and complex web applications - including Netflix, Airbnb, and Amazon itself.
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What is AWS Redshift?
Amazon Redshift is a cloud-based data warehousing solution that allows you to store, transform and query vast volumes of data at high speed.
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What is data science strategy?
Data science strategy refers to a company’s vision for how data will be used to help achieve the company’s business goals, how to build a thriving data culture, and how to address the skills and knowledge required to execute this vision.
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What is data strategy?
Data strategy refers to a company’s vision for how data will be used to help achieve the company’s business goals. This enables companies to analyse progress and make better business decisions, but it also helps to create a thriving data environment where it can be easily shared and accessed, safely stored and standardised, and viewed as a central resource to all departments.
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What is AI strategy?
AI strategy refers to a company’s vision for how AI will be deployed to help achieve the company’s business goals. It should be closely linked to your data strategy and hence to your business objectives.
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What is data science consulting?
Data science consulting is a service that will help your organisation develop a data science strategy and implement data science solutions. You may need a consultant to help you start integrating data science into your business strategy, or to help keep your projects on track.
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What is data science auditing?
Data science auditing is a review of your data science solutions to assess their quality, security and compliance. This helps businesses produce good quality data science solutions.
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What is data platform development?
A data platform is a service that includes data collection, storage and analysis. Developing a data platform creates a central service that encompasses a data warehouse, business intelligence tools, and a suite of data science and analytical environments.
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What is data platform auditing?
Data platform auditing reviews your data platform against fitness for purpose measures such as security, compliance and structure. This helps businesses ensure compliance and protect assets and data, by reviewing and improving the security of your data platform.
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What is data platform security auditing?
Data platform security auditing reviews the security of your data platform and provides recommendations for improvements. This helps businesses ensure compliance and protect customer data.
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What is data science development?
Data science development is the development of custom data science solutions (algorithms, models) from the data source to the deployment of the models.
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What is data science?
Data science applies scientific methods to data to reveal insights and predictions that can help you to meet your business goals. This helps businesses build better products and make better decisions.
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What are long-range, low-power sensor networks?
Long-range, low-power sensor networks are a type of wireless technology. They are systems of connected sensors that work over a large area using little power. This means that they have the benefits of wide-area mobile networks at a lower cost.
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What is developing a centre of excellence?
Developing a centre of excellence promotes collaboration in your business and defines best practice for your specific focus area - whether it be AI, data science, analytics or business intelligence - to drive progress towards your strategic goals.
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What is business intelligence?
Business intelligence refers to the systematic collection, integration, analysis and reporting of data from all areas of your business - from finance and sales to worker productivity - to drive better decision making.
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What is data warehousing?
Data warehousing refers to building a system that can store large volumes of data from several sources, as a central repository from which all other systems can access the data efficiently.
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What is remote support?
Remote support tools are IT tools and software that enable an IT technician or a support representative to connect to a remote computer from their consoles via the Internet and work directly on the remote system.
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What are database improvements?
Database improvements can mean improving the design of the database, improving the performance of the database, and improving the security of the database.
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What is database maintenance?
Database maintenance plans are a method of ensuring that a database is optimised and performing well. This helps businesses reduce downtime and data loss and ensure accurate and reliable data is available for modelling and insights.
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What is data visualisation?
Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers of the images. Data visualisation empowers all of the teams in your organisation to make data-driven decisions and act on insights from your data.
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What is AI product development?
AI product development is the development of an AI solution - either from scratch or building upon an AI solution that is used internally - that can be made available externally as a marketable product.
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What is AI integration into applications?
AI systems such as natural language processing and machine learning algorithms can be integrated into existing applications to add functionality and improve their performance over time. Examples of AI features that can be integrated into applications are facial recognition image processing, speech processing and personalised content.
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What is Azure Batch?
Azure Batch is a service that manages the workload of applications. It is designed to take the workload that is greater than the capability of your application, and divide it between a number of nodes - virtual machines (VMs) - that can each run your application and perform different parts of the workload in parallel.
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What is Azure Data Factory?
Azure Data Factory is a cloud-based data integration service. It does not store data itself, but allows you to create and monitor automated workflows that collect, integrate, and (to some extent) transform large volumes of data from disparate sources, and pass them on to other services that can store, transform, analyse and use the data.
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What is data collection?
Data collection is the process of gathering and measuring information on targeted variables in an established system. Data collection helps businesses evaluate and improve internal operations, evaluate performance, solve business problems, better understand customers and how to serve them, and make better decisions.
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What is data modeling?
Data modeling is the process of structuring and organising data as a map that clearly visualises data sources, transfers and relationships. Data modeling helps businesses build products that use data efficiently and meet business goals, empower teams to make data-driven decisions efficiently and manage large volumes of data.
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What is cloud data development?
Azure Data Factory is a cloud-based data integration service. It does not store data itself, but allows you to create and monitor automated workflows that collect, integrate, and (to some extent) transform large volumes of data from disparate sources, and pass them on to other services that can store, transform, analyse and use the data.
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