Machine learning is a type of artificial intelligence that gives computers the ability to learn without being explicitly programmed. It provides a set of algorithms and techniques for creating computer programs that can automatically improve their performance on specific tasks.
Content marketing is one of the most popular industries where machine learning can be applied. Machine learning is playing a significant role in content marketing because it helps marketers understand what consumers want to read and what they don’t. It also helps marketers create content that will be more likely to generate conversions and increase their return on investment.
Content marketers use machine learning to create better content and optimize their marketing campaigns. One way they do this is by using sentiment analysis to understand what kind of moods people might be in, while reading their content. This helps them write more engaging copy for their audience. Another way for marketers to use machine learning is by utilizing predictive analytics to predict what people will want to read based on the time of day or day of the week. This helps them make sure they have relevant content available at all times for their audience.
Machine learning is the way of the future. It will help create content that is relevant to the audience and that will resonate with them.
You can read more about How Can Machine Learning Help With Content Marketing here.
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OpenText Magellan Risk Guard software provides a simple dashboard UI to easily view and take action on risky files. With OpenText Cloud Editions (CE) 22.2, business users can now quickly customize their analysis of content in OpenText™ Extended ECM or Documentum by creating interactive PII and PSI reports that are integrated into the Magellan Risk Guard UI.
Custom interactive risk reports with a few clicks: Magellan Risk Guard has always included seamless integrations with Extended ECM and Documentum. With the new OpenText™ Magellan BI & Reporting integration, business users click on a few menu items to create the custom interactive reports they require without needing assistance from experts in AI, Data Science or analytics. With access to the new reporting capability directly in the Magellan Risk Guard UI, users can report on the types of risky data that are the highest priority for their department or job role.
You can read more about AI-Powered Risk Analysis Reporting here.
Teknita has the expert resources to support all your technology initiatives. We are always happy to hear from you.
Retailers, along with used product resellers, non-profits, thrifters and liquidators, want to capitalize on this thriving reCommerce market to cut the billions of dollars going to waste. AI and machine learning has become the answer. Here are the key ways AI is enabling the reCommerce industry to scale.
Attribute Identification.
Using AI and machine vision, resellers are able to quickly take what was once a very manual process of identifying and assigning product attributes and automate this identification process. Product characteristics such as color, style and even brand can be quickly assessed, automatically, using simple photographs. This can cut hundreds of hours off product processing when used for large batches of items, such as returns, donations and overstocks.
Product Valuation.
Returned, donated and used items typically don’t have designated tags or SKUs that can identify the value or assign a price. Using AI technology, identified attributes can be used to scour data sets across resale markets to properly identify current item value and set a market price. This too takes hours off of the traditionally manual product pricing process and is very effective at optimizing resale revenue.
Marketplace Listing Automation.
Product marketplaces from Poshmark, threadUP and The RealReal to eBay, OfferUp and Facebook Marketplace all require specific adjustments and characterizations to effectively list on their sites. AI technology and automation is being used to produce fully compliant, SEO optimized listings for each marketplace so that products are showcased effectively, no matter where they are being sold.
Empowering Listing Volume.
Listing products for resale is a numbers game. And with so much product volume to move, retailers specifically need to optimize their listing abilities to recoup lost profits from returned goods. AI empowers scalability and incredible volume, enabling sellers to move from a 5,000-item turn a month to exponentially increase overnight.
Lowers Labor Costs.
The cost of human labor has been the number one barrier to increasing reCommerce scale. Through AI and machine vision technology, resellers are closing the labor gap and optimizing profitability without the costs, challenge and difficulty of recruiting workers or shipping product offshore to perform processing. This further reduces costs and enhances rapid growth through product processing scale.
You can read more about Ways AI Is Powering ReCommerce here.
Teknita has the expert resources to support all your technology initiatives. We are always happy to hear from you.
Robotic process automation (RPA) frees human workers to focus on the things they do best and enjoy more, like interacting with customers and collaborating on innovative business projects.
There are 3 benefits of RPA for employees:
Time savings IT Central Station members are fully utilizing RPA so employees can concentrate on more valuable work. For example, Larry H., a systems administrator at a large insurance agency said: “We’ve got robots now taking 10 seconds to do what people were taking four to six minutes to do. It’s a whole department of people that are now free to do other things.”
Happier employees IT Central Station members have seen an increase in employee satisfaction thanks to RPA. An RPA developer at a consultancy explained that employees who work alongside the bots are usually a lot happier because they have to juggle fewer tasks. The robots are there to make people feel like people and not like robots, doing the same thing over and over and not enjoying what they’re doing.
Combating monotony at work Doing the same thing over and over every day can be tough on workers. UiPath allows employees to delegate mundane tasks to their personal automations. RPA saves time and allows them to perform more important functions. Some employees benefit because sometimes they get bored with the repetitive jobs they have to do at work. Now, they can use automation and “apply their brains somewhere fruitful”.
Express design in Power Apps is the ability to instantly generate low-code apps directly from design files and images. Now customers can create web and mobile apps from a broad range of inputs—including paper forms and PDFs, sketches on the whiteboard, and even professionally-designed assets in Figma. Express design adds to the many ways in which Power Platform is applying advanced AI to assist more people in driving innovation for their teams and businesses.
Power Apps express design is like an AI-powered copilot helping create apps alongside you.
Here’s how it works:
Get going with a variety of content types Start with a paper form, PowerPoint, PDF, a screenshot of a UI from a legacy app, or even a picture of a hand-drawn app that you’ve sketched out on paper. Or point to a design file in Figma.
Advanced AI will scan your file Using cognitive AI models that are trained to recognize common application elements, Power Apps will automatically generate an app with a working user experience and data schema in Microsoft Dataverse.
Tune the model to get exactly what you need From the AI-generated starting point, make quick inline adjustments.
Seamlessly connect to all of your data Easily adapt and configure the application using low code. Use more than 675 prebuilt connectors to integrate with your existing systems including SAP, Salesforce, and SQL.
Add as many screens as you like To add more screens to the app, simply upload additional files, or create them easily in the low-code Power Apps Studio.
You can read more about AI-powered express design here.
Teknita has the expert resources to support all your technology initiatives. We are always happy to hear from you.
GPT-3, on other words the third generation Generative Pre-trained Transformer, is the most powerful language model ever. Developed by OpenAI GPT-3, is a neural network machine learning model trained using internet data to generate any type of text. It requires a small amount of input text to generate large volumes of relevant and sophisticated machine-generated text. The model has 175 billion parameters, where it’s precursor – GPT-2’s – has only 1.5 billion parameters.
GPT-3 is trained to generate realistic human text, and has been used to create articles, poetry, stories, news reports and dialogue using just a small amount of input text that can be used to produce large amounts of quality copy. The model is also being used for automated conversational tasks, responding to any text that a person types into the computer with a new piece of text appropriate to the context. GPT-3 can create anything with a text structure, and not just human language text. It can also automatically generate text summarizations and even programming code.
GPT-3 is a language prediction model – it has a neural network machine learning model that can take input text as an input and transform it into what it predicts the most useful result will be. This is accomplished by training the system on the vast body of internet text to spot patterns. More specifically, GPT-3 is the third version of a model that is focused on text generation based on being pre-trained on a huge amount of text. When a user provides text input, the system analyzes the language and uses a text predictor to create the most likely output. Even without much additional tuning or training, the model generates high-quality output text that feels similar to what humans would produce.
