In today’s business world, staying ahead of the competition requires using the most powerful tools available. But with so many AI tools out there, it can be overwhelming to figure out which ones best fit your needs. That’s where we come in. Our team has curated a list of top AI tools for businesses that will help you boost efficiency and streamline operations. Whether you want to improve your data science and analytics capabilities or simply want to automate time-consuming tasks, we’ve got you covered. Our list includes popular tools like Matplotlib, widely used in data analysis, and SAS, which can handle large datasets. With these powerful tools at your disposal, you can work smarter and more efficiently every day.
Top 9 AI Tools for Business
Google Cloud Platform (GCP) is a cloud computing platform that offers the ability to build, run, and scale applications using the latest technologies, such as machine learning, artificial intelligence (AI), and data science. GCP was designed specifically for building AI solutions to solve business problems. The platform offers many different services enabling users to create intelligent applications for their organizations. These include:
- Machine Learning Engine
- Data Studio
- BigQuery Analytics
Microsoft Azure Machine Learning (ML) makes it easy to build and deploy ML models in the cloud quickly. It offers complete end-to-end integration with the Azure ecosystem, including support for data science tools such as Power BI and Excel Services. With Azure ML, you can:
- Build sophisticated machine learning models using Azure ML.
- Deploy your models securely on production without writing a single line of code.
- Deploy your models in minutes without having any previous experience with machine learning or cloud computing.
- Leverage the power of Microsoft’s deep engineering talent to train and manage your models as well as scale them at will.
- Visualize your models with dashboards that enable you to monitor performance metrics like accuracy and cost of different model versions over time; this helps make informed decisions about how many compute resources you need for your next model iteration.
Oracle AIX is an enterprise-grade AI platform for analyzing vast amounts of data in real-time to identify patterns, threats, and opportunities across multiple applications and businesses within organizations. It can be used by both individuals within organizations and by partners or vendors who have access to the system through partner agreements with Oracle.
IBM Watson is an artificial intelligence tool that you can use to improve the performance of your business. It has been used in the healthcare, retail, and banking industries. IBM Watson is a cloud-based platform that helps businesses make better decisions using natural language processing (NLP), machine learning, and deep learning.
The main features of IBM Watson include:
- Speech Recognition;
- Text Analytics;
- Language Understanding;
- Natural Language Generation;
- Recommendation Engine.
Microsoft Power BI is a self-service business intelligence tool that helps you visualize and analyze data from any source. It provides an easy and intuitive interface to create insightful visual reports, dashboards, and maps. Power BI can connect with other applications and databases, such as Salesforce or Google Analytics.
Power BI has been used by thousands of organizations across the globe to improve their business processes through visualization. It is also used by over 20% of Fortune 500 companies and large enterprises like AT&T, Dell Technologies, Comcast, Ernst & Young, Goldman Sachs, and others.
Power BI allows you to create interactive reports containing all the necessary information about your company or organization in minutes. It has many pre-built connectors that allow you to integrate various data sources such as Salesforce, Google Analytics, and more.
Salesforce Einstein is a cloud-based artificial intelligence (AI) platform that helps organizations use machine learning to make smarter decisions. Salesforce Einstein uses natural language processing and machine learning to analyze text, images, and video content to understand and predict customers’ needs.
Salesforce Einstein gives you access to a powerful set of tools for data analysis, predictive modeling, and decision-making. With the Salesforce Einstein Platform, you can:
- Evaluate and tune your models with powerful model-tuning capabilities.
- Use machine learning algorithms to create insights into your data – and then act on them.
- Choose the right algorithm for your business needs – without hiring an AI expert every time.
Pictory is an advanced AI video generator that offers an easy and convenient way to create and edit high-quality videos. The tool is ideal for both personal bloggers and companies, and one of its best features is that you don’t need any prior experience in video editing or design.
With Pictory, you simply provide a script or article as the basis for your video content, and the tool takes care of the rest. For instance, you can easily transform your blog post into a compelling video suitable for social media or your website. Since Pictory is cloud-based, it works seamlessly across all devices.
Another standout feature of Pictory is the ability to edit videos using text, making it an excellent choice for editing webinars, podcasts, Zoom recordings, and more. The tool is user-friendly and can produce professional-looking results in just a matter of minutes, helping you increase your audience engagement and build your brand.
Additionally, Pictory offers a feature that allows you to create shareable video highlight reels, making it a perfect tool for creating trailers or sharing short clips on social media. Besides these features, Pictory also provides automatic captioning and summarization for your videos, saving you time and effort.
Here are some of the key features of Pictory:
- Create videos based on articles or scripts
- Edit videos using text
- Generate shareable video highlight reels
- Automatically caption and summarize videos
The following video describes some of the features of Pictory:
If you’re looking for an AI image and upscaling tool, you won’t go wrong with HitPaw. This platform tops our list of the best tools available for enhancing images and enlarging them without losing quality.
With its AI models, HitPaw can enhance photo quality on any occasion, making it perfect for pro-level photo enhancement. Whether you’re trying to fix blurred photos or restore old ones, HitPaw’s AI face enhancer can make your face flawless, colorize black-and-white images, and bring old photos back to life with just one click.
The platform also offers powerful AI noise reduction technology to remove noise from high-ISO and low-lighting images. You can even make cartoon images look clearer with the denoise model.
The general model is your best bet if you want to enhance images of real scenes like landscapes and buildings. It can also upscale images to make animals or flowers clearer.
HitPaw is incredibly easy to use, and you can enhance image quality and resolution with just one click. It’s available for both Windows and Mac, and you can use it to make pictures less blurry and remove noise from them. With HitPaw, you can enlarge and upscale images without losing quality at all.
You can see the power of HitPaw in the following video:
Fireflies is a meeting assistant tool that uses AI and NLP to help you eliminate the need for note-taking during meetings. With Fireflies, you can easily record, transcribe, and search through your voice conversations on a user-friendly platform.
This tool allows you to record meetings across any web-conferencing platform instantly. You can invite Fireflies to your meetings, and it will automatically record and share conversations. Fireflies can transcribe live meetings or audio files you upload, and you can skim the transcripts while listening to the audio afterward.
Working in teams becomes easier with Fireflies, as you can quickly add comments or mark specific parts of calls to collaborate with teammates on important moments from your conversations.
The search functionality is one of the best features of Fireflies, allowing you to review an hour-long call in less than 5 minutes. You can search across action items and other important highlights, making it easy to find what you need.
Fireflies also offer a Chrome extension to capture meetings and calls directly from the browser and native integrations to dialers, Zapier, or the API to process audio and calls. With Fireflies, you can eliminate note-taking and focus on the conversation at hand.
The following video describes some of the features of Fireflies:
Top 3 Tools for Data Preparation
Power BI: Business Intelligence for Everyone
Power BI, formerly known as Power Pivot, is a cloud-based business intelligence tool that allows users to create and share dashboards, reports, and other interactive content with business users. It’s a great tool for data preparation because it allows you to upload your data, clean it up in the cloud, and publish it so others can view it on their devices or the web. This is particularly useful if you want to share data with non-technical people who may not be familiar with Excel or other tools.
Tableau Public: Free Visualization for All
Tableau Public is an online platform where you can create visualizations in minutes using various pre-built templates. You also use Tableau’s powerful drag-and-drop interface to create custom visualizations from scratch—without installing software on your computer. It’s a great tool for data preparation because it allows you to quickly build visualizations without going through complicated steps like installing software or learning to do something new (like programming). You can also collaborate by sharing your work publicly so others can see what you’ve done and comment on what they like or dislike about it!
Data Studio: Support Multiple Data Sources
Data Studio is an amazing tool for data preparation, especially if you’re a business that deals with large amounts of data. It allows you to easily prepare your data from different sources and formats and create visualizations and reports in one place. Data Studio also has many visualization and analytics tools, making it great for data analysis.
It’s easy to use, so even if you’re not an expert in data science, you can still use this tool without any problems. You can also create custom workflows that make the process easier for others who are less experienced.
Data Studio is easy to access and install on almost any machine or device that’s running Windows or Mac OS X. It’s also available as an app on Android devices!
Top 3 Tools for Big Data Analysis
Apache Hadoop is a large-scale software framework used for processing and analyzing data in a distributed computing environment, invented by Doug Cutting and others at Yahoo! Research. It is free, open-source software released under the GNU General Public License (GPL). Apache Hadoop is one of the most widely used open-source projects for Big Data processing. It has been used to process petabytes of data in production environments on various hardware platforms, from Internet-scale data centers to laptops.
Apache Spark is an open-source cluster computing system that provides interactive execution engines for SQL, RDD (Resilient Distributed Dataset), Streaming (Spark Streaming or GraphX), and Java APIs. Spark can run jobs on clusters of machines attached via interconnects such as InfiniBand or Ethernet. Still, it also provides its framework for managing partitions and fault tolerance to support large distributed datasets.
Xplenty is a powerful and easy-to-use tool for Big Data analysis.
The software combines data sources such as Hadoop and Elastic MapReduce with Apache Spark to provide an effective data processing, management, and analysis solution. Its intuitive user interface makes it easy to set up and run complex analyses without extensive programming knowledge. It supports all major programming languages, including Java, Python, Scala, R, MATLAB, and C++.
Xplenty offers many features that make it stand out from other Big Data platforms, including:
- Big Data analytics with SQL*PLUS support;
- Data management with built-in OLAP engine;
- Flexible security features that allow for access control based on roles, permissions, and groups.
Top 5 Tools for Data Science
Matlab is a programming language developed by MathWorks (formerly MathWorks Numerical Computation) of Natick, Massachusetts. It was created for technical computing and numerical analysis. Matlab is used to write computer programs that solve engineering problems, scientific calculations, and models, provide information about the physical world and do data processing. You can use it for simulations, data analysis, design, and software development.
It has a powerful tool to carry out the most complex mathematical operations quickly and accurately without making assumptions about the input data’s precision or output results’ accuracy. Because it uses basic scientific notation whenever possible; therefore, it can handle any kind of data. It also has an easy-to-learn command line interface (CLI) which makes it ideal for beginners and advanced users who want to learn more about MATLAB programming.
Matplotlib is a Python plotting library that can create graphs and charts. It supports various output formats, including PDF, PostScript, PNG, and SVG. The library also supports interactive plots with the pyplot module. This tool can create beautiful images for your reports and presentations.
SAS is an industry-leading business intelligence platform that helps organizations make better decisions with data by providing powerful analytics capabilities to users without requiring them to know how to code SAS. The platform has been used by over 80% of Fortune 500 companies worldwide and many other organizations across industries, such as marketing, sales force automation, and logistics management. It’s available in both cloud and on-premise versions depending on your needs.
SScikit-learn is a Python library for machine learning that lets you build and train sophisticated algorithms. It’s a great tool for data scientists, but its functionality extends far beyond that—if you’re looking to learn more about AI and machine learning, this is one of the best places to start.
The library covers a wide range of topics, including:
- Linear regression (linear regression);
- Logistic regression (logistic regression);
- Classification trees (classification tree machine learning);
- Naive Bayes classifiers (naive Bayes classifier machine learning);
- Support vector machines (support vector machine learning).
If your company’s data is important, you should consider incorporating some AI tools. They can make it easier to analyze and generate new insights, saving time and money in the long run. If you are a data scientist or have a particular machine learning use case in mind, these tools will provide the tools for doing exactly that.