by Teknita Team | Jun 8, 2022 | Artificial Intelligence - Machine Learning, Uncategorized
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.
You can read more about GPT-3 here.
Teknita has the expert resources to support all your technology initiatives.
We are always happy to hear from you.
Click here to connect with our experts!
by Teknita Team | Jun 7, 2022 | Artificial Intelligence - Machine Learning
Microsoft announced 12 new languages and dialects have been added to Translator. With these additional languages, service can now translate between more than 100 languages and dialects! Now information in text and documents is accessible to 5.66 billion people worldwide.
Recently added languages and dialects :
Bashkir, Dhivehi, Georgian, Kyrgyz, Macedonian, Mongolian (Cyrillic), Mongolian (Traditional), Tatar, Tibetan, Turkmen, Uyghur and Uzbek (Latin).
Thousands of organizations have turned to Translator to communicate with their members, employees and clients around the world. Translator (a cloud-based neural machine translation service), is part of the Azure Cognitive Services, which is the only cloud search service with built-in AI capabilities that enrich all types of information to help you identify and explore relevant content at scale. Azure Cognitive Search in addition to language, include AI models for speech, vision and decision-making tasks. These models enable organizations to leverage capabilities, such as a Computer Vision technology known as Optical Character Recognition. This service extracts text entered on a form in any of the more than 100 languages covered by Translator and uses the text to populate a database.
You can read more about Microsoft translation technology here.
Teknita has the expert resources to support all your technology initiatives.
We are always happy to hear from you.
Click here to connect with our experts!
by Teknita Team | Jun 6, 2022 | Uncategorized
Digital transformation involves change, which includes change in how people think, and this change starts by changing hearts and minds.
According Paul A. O’Keefe, Carol Dweck and Greg Walton, people tend to gravitate to one of two mindsets — a fixed mindset and a growth mindset.
Fixed mindset people spend their time being excellent, proving how good they are and seeking to be right. Growth mindset people focus on learning, keeping an open mind toward new information and are less concerned with being good and more concerned with getting better. To succeed, CIOs need to be aware of where the fixed versus growth mindsets exist, and it may not be the same for every proposed change. The struggle for CIOs leading transformation initiatives is working with, those with a fixed mindset, because they feel the biggest fear of change. According to Mevotech CIO Martin Davis, “Fear of change is a big problem. People may like the idea of change, but not like being changed. People tend to have a fear of losing something as the result of a change — status, position, knowledge and even coffee with friends. Another obstacle is making sure the business is thinking about change as business change and not just technology change.”
CIOs suggest that after convincing top leadership, changing hearts and minds can involve asking people to give up control, because “things that once made organizations successful can get in the way of the future” (Gary Hamel). Smart CIOs know that effective change agents come in all stripes. Sometimes change agents are outside experts or internal thought leaders, other times they can be the CEO, a key board members, or top customers. To succeed, CIOs need to meet regularly with their peers, host company-wide town halls, and encourage subsequent team meetings. CIOs need to encourage employees to be open to change. It is important to pursue multiple settings for reaching people, because often they need to hear things more than once before it sinks in.
You can read more about how CIOs can change Fixed Organizational Mindsets for Digital Transformation here.
Teknita has the expert resources to support all your technology initiatives.
We are always happy to hear from you.
Click here to connect with our experts!
by Teknita Team | Jun 2, 2022 | Process Automation
Automation, if executed poorly, can have negative impacts on data usage, processes, employee morale and customer satisfaction.
10 Automation Mistakes to avoid:
1. Focusing on a single technology
Once an organization has purchased and implemented a specific process automation tool, such as robotic process automation (RPA), successfully, it’s natural that colleagues want to adopt it more widely.
2. Believing that business can automate without IT
More and more business users believe that the adoption of RPA and low-code/no-code applications don’t require the assistance of IT. But business users may lack knowledge of how customer and data records work, and there’s a risk of mishandling the information.
3. Thinking automation is always the solution
Automation may be the best long-term option for business and IT processes, but leaders cannot simply use it to cover gaps in a poorly designed process. Automation is not meant to make up for failures in systems or defer system replacement.
4. Not engaging all stakeholders
Automation, by nature, has a broad impact on the enterprise, which means you should engage stakeholders from across the organization for decision making and sign off. For example, if adoption of new automation processes changes the nature of people’s roles, involve HR; changes to access rights and IDs, or server requirements must involve security or IT.
5. Failing to devote enough time to testing
Automation technologies only work when the algorithms and rules are exactly correct. The technologies may seem easy to use, but they are unforgiving when programmed incorrectly. They can very quickly wreck business data and fail to deliver the desired business outcome.
6. Wasting effort on overly complicated processes
At times, organizations find themselves in a quagmire when automating a process. That most often happens when processes are not well-documented or understood, if the workflow is not consistent or if there are too many variants in the decision-making process.
7. Treating automation as simple task replication
Using automation tools to copy exactly what is being done manually misses a critical benefit of automation — improving the end-to-end process to create a better customer and employee experience. If process redesign is not part of the automation process, you may use the wrong automation tool and lose the business outcome you hope to achieve.
8. Failing to monitor in postproduction
Just like any system implementation, automation projects will require extensive “hands-on” IT involvement after implementation. For example, for RPA rollouts, establish continuous assessment, monitoring and regular quality checks to ensure that robots have been scripted correctly and are continuing to work as expected. This avoids huge data cleanup tasks.
9. Using the wrong metrics to measure success
It’s typical to measure technology applications and tools to ensure that they are working as designed. However, this doesn’t reflect whether or not the project is successful. Measuring the impact on processes and the enterprise as a whole is key to the success of automation.
10. Ignoring the culture and employee impact
While it’s critical to focus on how to adopt and scale automation, it is equally important to consider the impact on employees, especially if roles are eliminated or reimagined.
You can read more about Automation Mistakes here.
Teknita has the expert resources to support all your technology initiatives.
We are always happy to hear from you.
Click here to connect with our experts!
by Teknita Team | May 25, 2022 | Process Automation
Microsoft Power Pages is a low-code, scalable, and secure solution, which empowers low-code maker or professional developers to build business-centric websites quickly and easily. Power Pages extends far beyond portals former capabilities to enable organizations of any size to securely build websites with exciting new aesthetic features and advanced capabilities for customization with pro-developer extensibility.
Visual Studio Code in Power Pages is used to code advanced capabilities using JavaScript, Liquid templates, code components, and web APIs. With these tools, professional developers can securely interact with underlying business data and implement custom business logic, all without leaving the surface of their favorite developer tools. Microsoft Power Platform command line interface also helps developers easily download and upload their customization projects.
MPP possibilities:
- Community services: Reach and serve millions of citizens at scale, providing community services such as self-service permitting, licensing, incident and outage reporting, and applying for grants.
- FAQ sites: Provide answers to common questions about products, services, special events, policies, and procedures.
- Customer self-service: Provide all-day customer self-services, such as warranty registration, returns, support inquiries, appointments, and bookings.
- Partner support: Streamline business processes with partners, such as supplier onboarding, sustainability tracking, inquiry management, and vendor support.
You can read more about Microsoft Power Pages here.
Teknita has the expert resources to support all your technology initiatives.
We are always happy to hear from you.
Click here to connect with our experts!
