Trending December 2023 # Openai Codex: Pricing, Features And Use Cases # Suggested January 2024 # Top 21 Popular

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A powerful artificial intelligence system that translates natural language into code.

About Open AI Codex

Codex is an AI-powered system developed by Open AI to help developers write code faster. The system powers Github Copilot and is proficient in several programming languages. Codex is a descendant of GPT-3 and is trained using billions of lines of code. It can write efficient programs in Python, Ruby, R, JavaScript, Go, Shell, and many other programming languages. However, it is highly efficient in the Python programming language.

Open AI launched Codex in 2023, but it is accessible as a beta product. The company is also inviting businesses to use the Codex API to develop software for their companies. It is available as a free, open-source product for developers.

Open AI Codex Features

Open AI Codex offers various features that allow coders to write efficient code faster. Some essential features of this tool include the following:

It can rewrite or autocomplete your code.

It can convert programs written in plain English into programs in any language.

It writes secure and reliable codes by providing suggestions and warnings while programming.

It makes coding less repetitive, saving the time and effort of developers.

It can write code for web applications, mobile applications, or machine learning models.

Open AI Codex Use Case – Real-World Applications

The Open AI Codex can be used for various real-life purposes, including the following:

Developers can use Codex to develop web, mobile, or other applications.

Businesses can integrate Codex into their software to improve its efficiency.

Students can use Codex to learn and practice their programming skills.

Open AI Codex Pricing

Open AI Codex is free software. You can use the platform for free to generate code in any programming language. However, the Open AI Codex API costs are calculated as per token consumption. Its price is calculated for every 1000 tokens used. Initially, users get tokens worth $5 upon registration.


Is the Open AI Codex available to the public?

Yes, anyone can use the Open AI Codex. You have to visit its website and create an account to start using the tool. It is available for free; there is no need to enter payment details.

Is the Open AI Codex API launched?

The Open AI Codex API was launched in 2023. You can access the API by signing up for a free account and generating the API keys. The pricing of the API is calculated based on every 1000 tokens used.

Which languages does the Open AI Codex API support?

Open AI Codex is efficient in Python, but it can write programs in dozens of languages. You can use it to code in Ruby, Swift, Go, JavaScript, Perl, PHP, TypeScript, and several other languages.

How do I create an Open AI Codex account?

You can access Codex by creating an Open AI account. To create your account, go to the official Codex website and hit the Sign Up button. Next, enter the information asked for in the form and complete the registration process. You can then access Codex using your Open AI account credentials.

Is the Open AI Codex reliable?

Open AI Codex is trained with a diverse dataset of various programming languages. You can use it to generate, rewrite, or autocomplete your programs. According to researchers, the platform provided working solutions 70.2% of the time out of 100. So, you can use the platform for programming, but review the code before final implementation.

The Open AI Codex is an incredible platform for businesses and developers. It can write efficient and effective programs for all types of applications faster, saving the time and effort of developers.

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Asus Rog Phone Accessories And Docks: Pricing, Availability And Features

ASUS’ ROG Phone is undoubtedly one of the most interesting phones to come out this year, and it’s now available in India (Buy from Flipkart for Rs 69,999). Some may say that ASUS is trying way too hard to make gaming phones happen, whereas others truly believe that the Republic of Gamers branding brings the innovation smartphones needed in 2023.

I am not going to talk about the specs that this phone brings to the table. You can see those here:

Weight200 grams

Display6-inch 18:9 (2160 by 1080) 90Hz AMOLED with Corning Gorilla Glass 6

ProcessorOverclocked Qualcomm Snapdragon 845 (2.96GHz)

GPUAdreno 630


Storage128GB / 512GB UFS2.1

Rear Camera12MP (F1.8) + 8MP (120° wide-angle)

Front Camera8MP (F2.0)

SoftwareROG Gaming X mode UI based on Android 8.1 Oreo

ConnectivityWiFi 802.11a/b/g/n/ac/ad, Bluetooth 5.0, NFC, WiFi Direct, GPS, AGPS, GLONASS, BDS, Dual SIM LTE

SensorsFingerprint sensor, Face recognition, Accelerator, E-Compass, Gyroscope, Proximity sensor, Ambient light sensor, Ultrasonic sensor

Battery4,000mAh (QC4.0)

ROG Phone Case

The ROG Phone is a looker, there’s no doubt about it. But if you want to keep the phone looking fresh, then you might want to invest in a case. The ROG Phone case is ASUS’ official case, so it fits perfectly, even though it’s priced at a hefty Rs 2,499.

It also replicates the cool design of the phone, and has a window for the Aura-illuminated ROG logo. It also gives you full access to the exclusive AirTriggers on ROG Phone, which is just awesome.

According to ASUS, the ROG Phone case provides tough everyday protection against dust, knocks, scratches, bumps, etc. Well, having used the phone with the case on, it is safe to say that it’s case you should be getting in case you plan on buying one.

ROG Phone AeroActive Cooling Fan

It comes with a fan (duh!) and also vents for heat dissipation. It connects to the phone via the USB Type-C port, but it adds a port of its own and a headphone jack, so you don’t have to worry about missing out on anything. And yes, it also has an RGB ROG logo. Thankfully, you don’t have to pay for this accessory as it comes with the retail package of the ROG Phone.

ROG Phone GameVice Controller

The GameVice controller adds a inventory of physical gaming controls to the ROG Phone. With this controller, you can get dual analog joysticks, left and right fire triggers and bumpers, a D-pad, along with A, B, X, Y and L3, R3 buttons.

The GameVice controller is best when paired with the ASUS WiGig Display Dock for an immersive big-screen gaming experience. Unfortunately the WiGig Display Dock is not available in India due to some regulatory hurdles. You can bu the GameVice Controller for Rs 5,999.

ROG Phone TwinView Dock

The TwinView Dock turns the ROG Phone into a powerful dual-screen console by adding things like the front-facing quad-speaker system, two extra physical trigger buttons, haptic feedback engine, etc. It also has an enhanced cooling system and a 6,000 mAh battery to keep you hooked on to your game.

ROG Phone Professional Dock

There’s also the ASUS Professional Dock, which you can use to connect your smartphone to a TV or monitor for a more cinematic gaming experience. Unlike the Desktop Dock, where the phone is slid into the dock (see below), the Professional Dock lets you hook up the phone to a dongle-like dock using the Type-C port.

You get an Ethernet port for wired internet connections, an HDMI with 4K@30Hz support, two USB 3.1 Type-A ports and a single USB 3.1 Type-C port as well. This one is priced at Rs 5,500 and is the most affordable of all the accessories – besides the case.

ROG Phone Desktop Dock

If you want to take your experience to the next level, then you might want to check out the Desktop Dock. As the name suggests, this dock essentially turns your phone into a mini-console, with which you can connect to an external 4k UHD 60Hz monitor, a mouse, keyboard, and all that good stuff.




ROG Phone Accessories: Pricing and Availability

Well, those were some of the cool accessories which you can get for the ROG Phone. The ROG Phone has been launched in India for Rs 69,999, and it’s available to purchase starting today on Flipkart.

The ROG Professional Dock will be available at Rs 5,499, while the GameVice joystick accessory is priced at Rs 5,999. When it comes to the TwinView Dock, you will have to shell out Rs 21,999, and Rs 12,999 for the Desktop Dock. Finally, the ROG Phone Case comes at a hefty Rs 2,499. The total price of the phone and all the accessories will come to Rs 1,18,994.

There’s no word about the launch of accessories, though. But we’ll keep you post as and when the accessories go on sale in India, so keep your eyes peeled.

Buy the Asus ROG Phone from Flipkart (Rs 69,999)

Pricing And Plan Cost

Gusto Editor’s Score: 94/100







Employee self-service


Customer service


Editor’s note: Looking for the right payroll software for your business? Fill out the below questionnaire to have our vendor partners contact you about your needs.

Did You Know?

Gusto handles both payroll and HR so well, it also earned a spot on our list of the best HR software. Its payroll abilities are among the top reasons it stands out.


If you don’t currently use highly rated time and attendance software, consider Gusto’s time-tracking features. Employees can use the platform to clock in and out, and then you can approve those timecards for payroll processing. Gusto can also track PTO and even monitor the time spent on specific projects.


Want to sign up for the Plus plan and receive guidance from Gusto’s HR specialists? For a fee of $8 per employee per month, you can add on those HR services and receive faster support.

Gusto Setup

Gusto is a cloud-based platform, so there is no software to download or update. You can use it right in your browser, and it’s mobile-friendly, so it’s accessible from any smartphone or tablet.

When you log in for the first time, the homepage walks you through the setup process, which entails entering your company address, adding employees, setting up federal and state taxes, linking and verifying your business bank account, and configuring your payroll schedule.

If you already have payroll set up with another provider, Gusto can walk you through the process of how and when to switch your data over. If you’re setting up payroll for the first time, Gusto provides an online guide to help you get started.

Gusto Customer Service

Gusto representatives are available for support by phone and email Monday through Friday between 8 a.m. and 8 p.m. ET. Whether you sign up for the Simple, Plus or Premium plan determines whether you have access to Basic support over those listed hours, Full support over extended hours, or Priority support for expedited assistance. The Premium package will also pair you with a dedicated customer success manager for personalized help.

To get a feel for the type of customer service Gusto provides, we called and emailed the company numerous times, posing as a new business owner. Though we did have to wait on hold to speak with someone during one of our calls, all our other calls were answered immediately when we reached out. 

During our conversations, the representatives gave clear and detailed answers to all of our questions. At the end of each call, we had a strong understanding of how the system works, the services it provides and how much everything costs. At no time did any of the representatives try to push us to sign up for the service. Some of the other payroll providers we contacted quickly tried to glean all of the specifics about our company and quote us prices. Gusto, however, seemed focused on making sure our needs were met first, which we appreciated.

We were also happy with the prompt response we received when we contacted the company via email. All of our inquiries were returned within a couple of hours and included detailed and helpful answers to our questions.

For self-guided assistance, the vendor also provides  a complete library of resources on its website with tips for both using the payroll system and running a small business.

Gusto Drawbacks

You can’t pay employees outside of the U.S. through Gusto, though the vendor does offer an add-on to compensate international contractors. In this age of remote work when more companies than ever have internationally distributed workforces, it would be helpful if businesses using Gusto weren’t limited to U.S. employees.

It’s surprising Gusto doesn’t have a dedicated mobile app to complement its software. While users can access the platform via their mobile device’s browser, most business software companies these days provide Android and iOS apps. The Gusto Wallet mobile app is primarily intended to help employees learn how to save money, and it comes with limited time-tracking and paycheck features. 

Another potential downside of Gusto is its cost. While the price of its Simple plan is in line with similar packages from other payroll services, Gusto’s higher-tier plans are more expensive. However, it is important to remember that those more expensive packages serve multiple functions for your business, and signing up for the most comprehensive plan is cheaper than hiring a full-time HR professional.

Lastly, we were disappointed to find that Gusto is not an accredited member of the Better Business Bureau, and the company has an F rating. (Paychex, in comparison, has an A+ rating.) Gusto had 147 complaints filed against it in the past three years.


To get an understanding of how Gusto works, we attended a 30-minute demo with a vendor representative who walked us through the software and answered our questions. During this demo, we got a sense of how easy the software is to navigate and how its features work.

We also contacted the company and posed as a potential customer to see what their customer service was like. We walked away from this phone conversation very satisfied with our experience. As part of our investigation, we compared Gusto to dozens of other payroll providers. This helped us see where the platform stood out and areas where it could improve. 

During our evaluation of the top payroll services, we looked at each product’s payroll features, usability, pricing, customer support, integrations and implementation. To find the best payroll company for businesses seeking added HR services, we considered what human resources services and assistance were provided, such as recruitment help and benefits administration.

Gusto FAQ How do you use Gusto?

Use Gusto to run payroll, manage employee benefits and execute other HR services. Gusto makes it possible for companies to pay employees and contractors, and it takes care of your local, state and federal tax responsibilities. 

Does Gusto pay weekly?

Gusto can pay employees weekly if you’d like it to. As the employer, you can set up whatever pay schedule that works for your business, and you’ll be able to run payroll as many times as you want each month with no additional charges. [Read related article: How Frequently Should You Run Payroll?]

How much does Gusto cost?

The cost of Gusto depends on how many people you employ and which plan you select – the lowest plan, for example, starts at $40 per month, plus $6 per employee per month. If you don’t have any full-time employees, you can choose the Contractor package, which costs just $6 per contractor. 

Bottom Line

We recommend Gusto for …

Small businesses or startups looking for a full-service payroll provider.

Companies in need of additional HR services on top of payroll processing.

Business owners who want to offer and manage employee benefits, like health insurance and retirement plans. 

We do not recommend Gusto for …

Businesses that need to pay employees outside the U.S.

Businesses that want payroll software with a dedicated mobile app. 

Top 10 Nft Use Cases And Ideas That Should Go Mainstream

Here are some of the top NFT uses cases that go beyond art and collectibles!

NFTs or non-fungible tokens have become the new attraction in the • Art NFTs: NFTs have a long-standing relationship with digital art. Even if it is fake art in the real-world scenario, NFTs can identify them. • Gaming: According to experts, there are almost 2 million people who indulge themselves in online gaming activities, every day. The reason why NFT has not witnessed a wider acceptance in this industry is that the development lifecycle of games is longer than digital arts and collectibles. But as more people are choosing blockchain games, the industry is turning to the facilities of NFT. • Finance NFTs: In • Fashion and Wearables: Luxury brands are now coming to the NFT space. The amalgamation of high fashion and • Music NFTs: Like an image file or video, musicians can attach their audio pieces to NFTs and create a collectible piece of music. It would be like the first edition of a digital record. Musicians find it difficult to get a fair share of the royalties. The adoption of their music by larger streaming services might not always be possible. Therefore, this model is set to solve all these issues and the artists will no longer depend on third-party services. • Logistics: • Domain Name Ownership: With blockchain domain systems, owners can control their domains using private keys. • Real Estate: NFTs have platforms for selling digital real estate in both the virtual and real worlds. Digital real estate applications are gaining momentum in different types of games. Using NFTs to purchase objects and areas ensures that the original owners and producers can be identified. • Identification and Documentation: NFTs can prove significantly useful when it comes to personal identity management. They contain unique information stored in their tokens. These tokens can be used for documenting degrees, certificates, medical records, and qualifications. The certification can be issued over the blockchain as NFT, which can be traced back to the owner.

NFTs or non-fungible tokens have become the new attraction in the cryptocurrency and blockchain industry. They are digital tokens of virtual and real-world assets that can be applied to any item. Before NFTs, creating digital scarcity for assets was significantly tougher. Even after facing the growing evolution in technology and as a financial instrument, NFTs continue to offer new means of creating digitized assets, monetizing intellectual property, and verifying the authenticity of the physical assets on the internet. Meanwhile, crypto analysts and experts continue to research more on NFT use cases to learn about their actual potential. The development of non-fungible tokens has not only brought crypto art and digital collectibles together but has also helped in proving the authenticity of real estate and logistics and other unique and collectible goods. Since NFTs have drawn a lot of attention in the arts, entertainment, and business world, here are some interesting NFT use cases and ideas that should go mainstream.: NFTs have a long-standing relationship with digital art. Even if it is fake art in the real-world scenario, NFTs can identify them. Crypto art tends to attain more value if its ownership and authenticity are verified digitally. Sometimes, it becomes more necessary to verify its ownership, rather than the inherent value of the asset. NFTs prove effective for these purposes.: According to experts, there are almost 2 million people who indulge themselves in online gaming activities, every day. The reason why NFT has not witnessed a wider acceptance in this industry is that the development lifecycle of games is longer than digital arts and collectibles. But as more people are choosing blockchain games, the industry is turning to the facilities of NFT.: In Defi , NFTs provide unique financial abilities. Most will have some artwork involved but their value comes from the utility. Through different NFT platforms and models, the users can access token pools, creating secondary markets for these NFTs based on the degree of access they can provide.: Luxury brands are now coming to the NFT space. The amalgamation of high fashion and blockchain has started to create a revolution in the fashion industry. The set includes physical assets like retail clothing and other accessories along with their digital companions as NFTs. The merge of technology like NFT and augmented reality with physical couture has unveiled a new line of digital apparel that will soon overtake industry chúng tôi an image file or video, musicians can attach their audio pieces to NFTs and create a collectible piece of music. It would be like the first edition of a digital record. Musicians find it difficult to get a fair share of the royalties. The adoption of their music by larger streaming services might not always be possible. Therefore, this model is set to solve all these issues and the artists will no longer depend on third-party services. Blockchain technology can be useful for logistics as well mainly because of its immutability and transparency. It ensures that the supply chain data remains authentic and reliable. With essential commodities and perishable goods, it is imperative to know the details related to the goods and for how long will they remain usable. The added benefit to this is NFT’s nature to represent unique chúng tôi blockchain domain systems, owners can control their domains using private keys. Blockchain domain NFTs enable easy trading as well as customizable domain names. The ICANN controls the standard domain name service, which raises concerns about censorship and security. Blockchain domain names are recorded permanently in a public registry and cannot be deleted or altered by any third chúng tôi have platforms for selling digital real estate in both the virtual and real worlds. Digital real estate applications are gaining momentum in different types of games. Using NFTs to purchase objects and areas ensures that the original owners and producers can be chúng tôi can prove significantly useful when it comes to personal identity management. They contain unique information stored in their tokens. These tokens can be used for documenting degrees, certificates, medical records, and qualifications. The certification can be issued over the blockchain as NFT, which can be traced back to the owner.Since NFTs can be linked to real-world assets, they can be used to prove ownership. Real estate deal with physical property deeds. These deeds can be transformed into tokenized digital assets that can move physical assets like houses or land into the blockchain network.

100+ Ai Use Cases & Applications: In

AI is changing every industry and business function, which results in increased interest in AI, its subdomains, and related fields such as machine learning and data science as seen below. With the launch of ChatGPT, interest in generative AI, a subfield of AI, exploded.

According to a recent McKinsey survey, 56% of organizations are using AI in at least one business function. To integrate AI into your own business, you need to identify how AI can serve your business, possible use cases of AI in your business. This article gathers the most common use cases covering marketing, sales, customer services, security, data, technology, and other processes:

Generative AI

Generative AI involves AI models generating output in requests where there is not a single right answer (e.g. creative writing). Since the launch of ChatGPT, it has been exploding in popularity. Its use cases include content creation for marketing, software code generation, user interface design and many others.

For more: Generative AI use cases.

Business Functions General solutions

Analytics Services: Satisfy your custom analytics needs with these e2e solution providers. Vendors are there to help you with your business objectives by providing turnkey solutions.

Automated Machine Learning (autoML): Machines helping data scientists optimize machine learning models. With the rise of data and analytics capabilities, automation is needed in data science. AutoML automates time consuming machine learning tasks, enabling companies to deploy models and automate processes faster.

Specialized solutions

Conversational Analytics: Use conversational interfaces to analyze your business data. Natural Language Processing is there to help you with voice data and more enabling automated analysis of reviews and suggestions.

E-Commerce Analytics: Specialized analytics systems designed to deal with the explosion of e-commerce data. Optimize your funnel and customer traffic to maximize your profits.

Geo-Analytics Platform: Enables analysis of granular satellite imagery for predictions. Leverage spatial data for your business goals. Capture the changes in any landscape on the fly.

Real-Time Analytics: Real-Time Analytics for your time-sensitive decisions. Act timely and keep your KPI’s intact. Use machine learning to explore unstructured data without any disruptions.

Call Analytics: Advanced analytics on call data to uncover insights to improve customer satisfaction and increase efficiency. Find patterns and optimize your results. Analyze customer reviews through voice data and pinpoint, where there is room for improvement. Sestek indicates that ING Bank observed a 15% increase in sales quality score and a 3% decrease in overall silence rates after they integrated AI into their call systems.

Call Classification: Leverage natural language processing (NLP) to understand what the customer wants to achieve so your agents can focus on higher value-added activities. Before channeling the call, identify the nature of your customers’ needs and let the right department handle the problem. Increase efficiency with higher satisfaction rates.

Call Intent Discovery: Leverage Natural Language Processing and machine learning to estimate and manage customer’s intent (e.g., churn) to improve customer satisfaction and business metrics. Sentiment analysis through the customer’s voice level and pitch. Detect the micro-emotions that drive the decision-making process. Explore how chatbots detect customer intent in our in-depth article on intent recognition.

Chatbot for Customer Service (Self – Service Solution): Chatbots can understand more complicated queries as AI algorithms improve. Build your own 24/7 functioning, intelligent, self-improving chatbots to handle most queries and transfer customers to live agents when needed. Reduce customer service costs and increase customer satisfaction. Reduce the traffic on your existing customer representatives and make them focus on the more specific needs of your customers. Read for more insights on chatbots in customer service or discover chatbot platforms.

Chatbot Analytics: Analyze how customers are interacting with your chatbot. See the overall performance of your chatbot. Pinpoint its shortcomings and improve your chatbot. Detect the overall satisfaction rate of your customer with the chatbot.

Chatbot testing: Semi-automated and automated testing frameworks facilitate bot testing. See the performance of your chatbot before deploying. Save your business from catastrophic chatbot failures. Detect the shortcomings of your conversational flow.

Customer Contact Analytics: Advanced analytics on all customer contact data to uncover insights to improve customer satisfaction and increase efficiency. Utilize Natural Language Processing for higher customer satisfaction rates.

Customer Service Response Suggestions: Bots will listen in on agents’ calls suggesting best practice answers to improve customer satisfaction and standardize customer experience. Increase upsells and cross-sells by giving the right suggestion. Responses will be standardized, and the best possible approach will serve the benefit of the customer.

Social Listening & Ticketing: Leverage Natural Language Processing and machine vision to identify customers to contact and respond to them automatically or assign them to relevant agents, increasing customer satisfaction. Use the data available in social networks to uncover whom to sell and what to sell.

Intelligent Call Routing: Route calls to the most capable agents available. Intelligent routing systems incorporate data from all customer interactions to optimize the customer satisfaction. Based on the customer profile and your agent’s performance, you can deliver the right service with the right agent and achieve superior net promoter scores. Feel free to read case studies about matching customer to right agent in our emotional AI examples article.

Survey & Review Analytics: Leverage Natural Language Processing to analyze text fields in surveys and reviews to uncover insights to improve customer satisfaction and increase efficiency. Automate the process by mapping the right keywords with the right scores. Make it possible to lower the time for generating reports. Protobrand states that they used to do review analytics manually through the hand-coding of the data, but now it automates much of the analytical work with Gavagai. This helps the company to collect larger quantitative volumes of qualitative data and still complete the analytical work in a timely and efficient manner. You can read more about survey analytics from our related article.

Voice Authentication: Authenticate customers without passwords leveraging biometry to improve customer satisfaction and reduce issues related to forgotten passwords. Their unique voice id will be their most secure key for accessing confidential information. Instead of the last four digits of SSN, customers will gain access by using their voice.

Data Cleaning & Validation Platform: Avoid garbage in, garbage out by ensuring the quality of your data with appropriate data cleaning processes and tools. Automate the validation process by using external data sources. Regular maintenance cleaning can be scheduled, and the quality of the data can be increased.

Data Integration: Combine your data from different sources into meaningful and valuable information. Data traffic depends on multiple platforms. Therefore, managing this huge traffic and structuring the data into a meaningful format will be important. Keep your data lake available for further analysis. 

Data Preparation Platform: Prepare your data from raw formats with data quality problems to a clean, ready-to-analyze format. Use extract, transform, and load (ETL) platforms to fine-tune your data before placing it into a data warehouse.

Data Visualization: Visualize your data for better analytics and decision-making. Let the dashboards speak. Convey your message more easily and more esthetically.

Data Labeling: Unless you use unsupervised learning systems, you need high quality labeled data. Label your data to train your supervised learning systems. Human-in-the-loop systems auto label your data and crowdsource labeling data points that cannot be auto-labeled with confidence.

Synthetic Data: Computers can artificially create synthetic data to perform certain operations. The synthetic data is usually used to test new products and tools, validate models, and satisfy AI needs. Companies can simulate not yet encountered conditions and take precautions accordingly with the help of synthetic data. They also overcome the privacy limitations as it doesn’t expose any real data. Thus, synthetic data is a smart AI solution for companies to simulate future events and consider future possibilities. You can have more information on synthetic data from our related article.

Finance business function led by the CEO completes numerous repetitive tasks involving quantitative skills which makes them a good fit for AI transformation:

Billing / invoicing reminders: Leverage accessible billing services that remind your customers to pay.

Invoicing: Invoicing is a highly repetitive process that many companies perform manually. This causes human errors in invoicing and high costs in terms of time, especially when a high volume of documents needs to be processed. Thus, companies can handle these repetitive tasks with AI, automate invoicing procedures, and save significant time while reducing invoicing errors.

Employee Monitoring: Monitor your employees for better productivity measurement. Provide objective metrics to see how well they function. Forecast their overall performance with the availability of massive amounts of data.

Hiring: Hiring is a prediction game: Which candidate, starting at a specific position, will contribute more to the company? Machine and recruiting chatbots‘ better data processing capabilities augment HR employees in various parts of hiring such as finding qualified candidates, interviewing them with bots to understand their fit or evaluating their assessment results to decide if they should receive an offer. 

HR Analytics: HR analytics services are like the voice of employee analysis. Look at your workforce analytics and make better HR decisions. Gain actionable insights and impactful suggestions for higher employee satisfaction.

HR Retention Management: Predict which employees are likely to churn and improve their job satisfaction to retain them. Detect the underlying reasons for their motive for seeking new opportunities. By keeping them at your organization, lower your human capital loss.

Performance Management: Manage your employees’ performance effectively and fairly without hurting their motivation. Follow their KPI’s on your dashboard and provide real-time feedback. This would increase employee satisfaction and lower your organization’s employee turnover. Actualize your employee’s maximum professional potential with the right tools.

You can also read our article on HR technology trends.

A 2023 survey conducted among global marketers revealed that 41% of respondents saw an increase in revenue growth and improved performance due to the use of AI in their marketing campaigns.

Marketing can be summarized as reaching the customer with the right offer, the right message, at the right time, through the right channel, while continually learning. To achieve success, companies can leverage AI-powered tools to get familiar with their customers better, create more compelling content, and perform personalized marketing campaigns. AI can provide accurate insights and suggest smart marketing solutions that would directly reflect on profits with customer data. You can find the top three AI use cases in marketing:

Marketing analytics: AI systems learn from, analyze, and measure marketing efforts. These solutions track media activity and provide insights into PR efforts to highlight what is driving engagement, traffic, and revenue. As a result, companies can provide better and more accurate marketing services to their customers. Besides PR efforts, AI-powered marketing analytics can lead companies to identify their customer groups more accurately. By discovering their loyal customers, companies can develop accurate marketing strategies and also retarget customers who have expressed interest in products or services before. Feel free to read more about marketing analytics with AI from this article.

To learn more about AI use cases in marketing, you can check out our complete guide on the topic.


Digital Assistant: Digital assistants are mature enough to replace real assistants in email communication. Include them in your emails to schedule meetings. They have already scheduled hundreds of thousands of meetings.


Sales Forecasting: AI allows automatic and accurate sales forecasts based on all customer contacts and previous sales outcomes. Automatically forecast sales accurately based on all customer contacts and previous sales outcomes. Give your sales personnel more sales time while increasing forecast accuracy. Hewlett Packard Enterprise indicates that it has experienced a 5x increase in forecast simplicity, speed, and accuracy with Clari’s sales forecasting tools.


Sales Data Input Automation: Data from various sources will be effortlessly and intelligently copied into your CRM. Automatically sync calendar, address book, emails, phone calls, and messages of your salesforce to your CRM system. Enjoy better sales visibility and analytics while giving your sales personnel more sales time.

AI-based agent coaching: Both AI and emotion AI can be leveraged to coach sales reps and customer service employees by:

Retail Sales Bot: Use bots on your retail floor to answer customer’s questions and promote products. Engage with the right customer by analyzing the profile. Computer vision will help you to provide the right action depending on the characteristics and mimics of the customer.

Meeting Setup Automation (Digital Assistant): Leave a digital assistant to set up meetings freeing your sales reps time. Decide on the targets to prioritize and keep your KPI’s high.

Prescriptive Sales: Most sales processes exist in the mind of your sales reps. Sales reps interact with customers based on their different habits and observations. Prescriptive sales systems prescribe the content, interaction channel, frequency, price based on data on similar customers.


Conversational AI company Haptik develops sales chatbots for companies, including Fortune 500 ones, to improve their conversational commerce capabilities. For instance, thanks to Haptik’s sales chatbot, Tata Cliq, an e-commerce platform, increased its cart addition rate by 2.4 times in three months.

Sales analytics

As Gartner discusses, sales analytic systems provide functionality that supports discovery, diagnostic, and predictive exercises that enable the manipulation of parameters, measures, dimensions, or figures as part of an analytic or planning exercise. AI algorithms can automate the data collection process and present solutions to improve sales performance. To have more detailed information, you can read our article about sales analytics.

Customer Sales Contact Analytics: Analyze all customer contacts, including phone calls or emails, to understand what behaviors and actions drive sales. Advanced analytics on all sales call data to uncover insights to increase sales effectiveness

Sales Call Analytics: Advanced analytics on call data to uncover insights to increase sales effectiveness. See how well your conversation flow performs. Integrating data on calls will help you to identify the performance of each component in your sales funnels.

Sales attribution: Leverage big data to attribute sales to marketing and sales efforts accurately. See which step of your sales funnel performs better. Pinpoint the low performing part by the insights provided by analysis.

Sales Compensation: Determine the right compensation levels for your sales personnel. Decide on the right incentive mechanism for the sales representatives. By using the sales data, provide objective measures, and continuously increase your sales representatives’ performance.

For more details on how AI is changing sales, you can check out our more comprehensive guide.

No code AI & app development: AI and App development platforms for your custom projects. Your in-house development team can create original solutions for your specific business needs.

Analytics & Predictive Intelligence for Security: Analyze data feeds about the broad cyber activity as well as behavioral data inside an organization’s network to come up with actionable insights to help analysts predict and thwart impending attacks. Integrate external data sources the watch out for global cyber threats and act timely. Keep your tech infrastructure intact or minimize losses. 

Knowledge Management: Enterprise knowledge management enables effective and effortless storage and retrieval of enterprise data, ensuring organizational memory. Increased collaboration by ensuring the right people are working with the right data. Seamless organizational integration through knowledge management platforms.

Natural Language Processing Library/ SDK/ API: Leverage Natural Language Processing libraries/SDKs/APIs to quickly and cost-effectively build your custom NLP powered systems or to add NLP capabilities to your existing systems. An in-house team will gain experience and knowledge regarding the tools. Increased development and deployment capabilities for your enterprise.

Image Recognition Library/ SDK/ API: Leverage image recognition libraries/SDKs/APIs to quickly and cost-effectively build your custom image processing systems or to add image processing capabilities to your existing systems.

Autonomous Cybersecurity Systems: Utilize learning systems to efficiently and instantaneously respond to security threats, often augmenting the work of security analysts. Lower your risk of human errors by providing greater autonomy for your cybersecurity. AI-backed systems can check compliance with standards.

Smart Security Systems: AI-powered autonomous security systems. Functioning 24/7 for achieving maximum protection. Computer vision for detecting even the tiniest anomalies in your environment. Automate emergency response procedures by instant notification capabilities.

Machine Learning Library/ SDK/ API: Leverage machine learning libraries/SDKs/APIs to quickly and cost-effectively build your custom learning systems or to add learning capabilities to your existing systems.

AI Developer: Develop your custom AI solutions with companies experienced in AI development. Create turnkey projects and deploy them to the specific business function. Best for companies with limited in-house capabilities for artificial intelligence.

Deep Learning Library/ SDK/ API: Leverage deep learning libraries/SDKs/APIs to quickly and cost-effectively build your custom learning systems or to add learning capabilities to your existing systems.

Developer Assistance: Assist your developers using AI to help them intelligently access the coding knowledge on the web and learn from suggested code samples. See the best practices for specific development tasks and formulate your custom solution. Real-time feedback provided by the huge history of developer mistakes and best practices.

AI Consultancy: Provides consultancy services to support your in-house AI development, including machine learning and data science projects. See which units can benefit most from AI deployment. Optimize your artificial intelligence spending for the best results from the insight provided by a consultant.


Autonomous things including cars and drones are impacting every business function from operations to logistics.

Driving Assistant: Required components and intelligent solutions to improve rider’s experience in the car. Implement AI-Powered vehicle perception solutions for the ultimate driving experience.

Vehicle Cybersecurity: Secure connected and autonomous cars and other vehicles with intelligent cybersecurity solutions. Guarantee your safety by hack-proof mechanisms. Protect your intelligent systems from attacks.

Vision Systems: Vision systems for self-driving cars. Integrate vision sensing and processing in your vehicle. Achieve your goals with the help of computer vision.

Self-Driving Cars: From mining to manufacturing, self-driving cars/vehicles are increasing the efficiency and effectiveness of operations. Integrate them into your business for greater efficiency. Leverage the power of artificial intelligence for complex tasks.

Course creation


For more: Generative AI applications in education

Creative Design

Virtual try-on

Trend analysis

For more: Generative AI applications in fashion

Patient Data Analytics: Analyze patient and/or 3rd party data to discover insights and suggest actions. Greater accuracy by assisted diagnostics. Lower the mortality rates and increase patient satisfaction by using all the diagnostic data available to detect the underlying reasons for the symptoms.

Personalized Medications and Care: Find the best treatment plans according to patient data. Provide custom-tailored solutions for your patients. By using their medical history, genetic profile, you can create a custom medication or care plan.

Drug Discovery: Find new drugs based on previous data and medical intelligence. Lower your R&D cost and increase the output — all leading to greater efficiency. Integrate FDA data, and you can transform your drug discovery by locating market mismatches and FDA approval or rejection rates.

Real-Time Prioritization and Triage: Prescriptive analytics on patient data enabling accurate real-time case prioritization and triage. Manage your patient flow by automatization. Integrate your call center and use language processing tools to extract the information, priorate patients that need urgent care, and lower your error rates. Eliminate error-prone decisions by optimizing patient care.

Early Diagnosis: Analyze chronic conditions leveraging lab data and other medical data to enable early diagnosis. Provide a detailed report on the likelihood of the development of certain diseases with genetic data. Integrate the right care plan for eliminating or reducing the risk factors.

Assisted or Automated Diagnosis & Prescription: Suggest the best treatment based on the patient complaint and other data. Put in place control mechanisms that detect and prevent possible diagnosis errors. Find out which active compound is most effective against that specific patient. Get the right statistics for superior care management.

Pregnancy Management: Monitor mother and fetus health to reduce mothers’ worries and enable early diagnosis. Use machine learning to uncover potential risks and complications quickly. Lower the rates of miscarriage and pregnancy-related diseases.

Medical Imaging Insights: Advanced medical imaging to analyze and transform images and model possible situations. Use diagnostic platforms equipped with high image processing capabilities to detect possible diseases.

Healthcare Market Research: Prepare hospital competitive intelligence by tracking market prices. See the available insurance plans, drug prices, and many more public data to optimize your services. Leverage NLP tools to analyze the vast size of unstructured data.

Healthcare Brand Management and Marketing: Create an optimal marketing strategy for the brand based on market perception and target segment. Tools that offer high granularity will allow you to reach the specific target and increase your sales.

Gene Analytics and Editing: Understand genes and their components and predict the impact of gene edits.

Device and Drug Comparative Effectiveness: Analyze drug and medical device effectiveness. Rather than just using simulations, test on other patient’s data to see the effectiveness of the new drug, compare your results with benchmark drugs to make an impact with the drug.

Healthcare chatbot: Use a chatbot to schedule patient appointments, give information about certain diseases or regulations, fill in patient information, handle insurance inquiries, and provide mental health assistance. You can also use intelligent automation with chatbot capabilities.

For more, feel free to check our article on the use cases of AI in the healthcare industry.

Manufacturing Analytics: Also called industrial analytics systems, these systems allow you to analyze your manufacturing process from production to logistics to save time, reduce cost, and increase efficiency. Keep your industry effectiveness at optimal levels.

Collaborative Robots: Cobots provide a flexible method of automation. Cobots are flexible robots that learn by mimicking human workers’ behavior.

Network investment optimization: Both wired and wireless operators need to invest in infrastructure like active equipment or higher bandwidth connections to improve Quality of Service (QoS). Machine learning can be used to identify highest ROI investments that will result in less churn and higher cross and up-sell.


This was a list of areas by business function where out-of-the-box solutions are available. However, AI, like software, has too many applications to list here. You can also take a look at our AI in business article to read about AI applications by industry. Also, feel free to check our article on AI services.

It is important to get started fast with high impact applications and generate business value without spending months of effort. For that, we recommend companies to use no code AI solutions to quickly build AI models.

Once companies deploy a few models to production, they need to take a deeper look at their AI/ML development model.

We examined the pros and cons of this approaches in our article on making the build or buy decisions regarding AI.

You can also check out our list of AI tools and services:

These articles about AI may also interest you:

And if you have a specific business challenge, we can help you find the right vendor to overcome that challenge:

Sources: Though most use cases have been categorized based on our experience, we also took a look at some sources before finalizing the list:

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.





Companies Using Cloud Databases: Top Use Cases

These cloud database case studies demonstrate clearly why so many enterprises and other large-scale organizations are shifting some, or all, of their data to cloud databases.

Some benefits may seem clear — the cloud provides remote access to data, for example. Other benefits are often overlooked. 

Here are five examples of cloud database case studies from several industries to show the versatility cloud database solutions can provide:

Industry: Pharmacy


Microsoft Consulting Services, along with Tata Consultancy Services (TCS), partnered with Walgreens to create the Information, Data, and Insights (IDI) platform powered by Azure. Microsoft describes the platform as having an “event-based microservices architecture that processes the company’s two key prescription processes: prescription and pharmacy inventory processing and pharmacy operations processing.”

When patients or medical providers initiate the prescription fulfillment process, Azure Databricks and Azure Synapse Analytics move hundreds of related data points through the IDI. Pharmacists can access information through a centralized dashboard interface and request data visualizations.


Pharmacists gain real-time insights, and the system can scale as needed to meet current needs. During peak times, the platform can handle more than 40,000 transactions per second. Compared with Walgreens’ previous solution, the private cloud-based architecture saves an enormous amount of time on every transaction — prescription data that once took about 48 hours to reach its data warehouse can be handled by Walgreens within minutes. 

In a Microsoft case study, Lakshmi Nagaraj, managing partner at Tata Consultancy Services, says, “It is a great journey for TCS partnering with Walgreens and Microsoft to build a modern pharmacy platform with Azure, enabling intelligent data tools at the fingertips of the pharmacists to enable future growth.” 

Industry: Retail (shoes)


SAP worked with Allbirds to develop a cloud-based enterprise resource planning (ERP) infrastructure to consolidate and centralize global operations. The infrastructure includes legacy e-commerce and POS platforms powered by SAP. At this point, Allbirds holds 90% of its business technology in the cloud, within private and public cloud networks. 


Allbirds has been able to create immersive cross-channel experiences on their mobile and web platforms as well as in store due to better visibility into inventory. The private cloud-based system delivers real-time financial data, including up-to-the-minute sales and customer insights, which are used to create consistency across multiple sales channels and to streamline supply chains. The company has experienced better on-time delivery rates and fewer out-of-stock issues where inventory data was outdated. 

Industry: Transportation


Siemens Mobility is working with several European rail operators to modernize thousands of kilometers of rail traffic. Siemens’ train signal control system is intended to improve efficiency and utilization, but digitizing the routes was complex, given the extensive scope and scale of the project, which spans several European countries. 


Industry: Mining


MineSense is a data-based tool used by several of the world’s largest mining operations in Canada, Chile and Peru to more accurately dig for resources like iron, copper, zinc and nickel. The company uses thousands of Internet of Things (IoT) devices and terabytes of data to power its operations. Data received through these devices is used to optimize the use of power and water for extraction and to minimize waste, but the company needed a large-scale solution for managing all that data. 


Industry: Gaming


Online game publisher Gamepub was unhappy with the amount of downtime it had to tolerate in order to handle maintenance tasks. Every moment games in their catalog were inaccessible was directly related to a financial hit, and ultimately, the company felt it impacted customer loyalty and retention. “Gamers are disappointed even when there’s a short delay in access,” says Seokchan Sohn, Lead of System Team at Gamepub in the Microsoft case study. 


Gamepub’s move to Microsoft’s Azure Database for MySQL – Flexible Server has given the company much more control over how it handles game maintenance.

The company can control the timing for patches and upgrades and schedule maintenance to coincide with game update releases. Sohn says the company is able to reduce downtime by running certain disk management tasks online — for example, disk volume size changes and IOPS (input/output operations per second) optimization. Ultimately, Sohn says, the company was able to eliminate about two unnecessary maintenance periods per quarter. 

Cloud-based databases can significantly improve the way enterprises access and utilize data resources. Not only do these solutions reduce the amount of physical hardware space required to store and manage data, but they also offer benefits like reduced latency and the centralization of disparate data stores. 

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