The companies already partner on charging system operations managed services. The new deal, which is already being implemented, includes network operations center services and field services in radio, core and transmission technology. AI-driven intelligent and data driven operations are part of the deal. AI-related efficiency benefits, automation and data analytics will enable MTN Benin and Ericsson to run predictive operations to enable a shift from reactive to proactive IT and network management – boosting customers' experiences, as well as network quality and performance. Stephen Blewett, Chief Executive Officer, MTN Benin, says: "Network managed operations play a significant role in improving MTN customers' satisfaction and enhancing customer experience as well as enabling revenue growth and cost efficiency. We expect advanced technologies like AI, automation and analytics to further accelerate operational transformation through this new managed services partnership."

Robotic Process Automation Market Restraint/Challenges analysis 3.3.1.3.

The global degradation of water resources is a matter of great concern, especially for the survival of humanity. The effective monitoring and management of existing water resources is necessary to achieve and maintain optimal water quality. The prediction of the quality of water resources will aid in the timely identification of possible problem areas and thus increase the efficiency of water management. The purpose of this research is to develop a water quality prediction model based on water quality parameters through the application of a specialised recurrent neural network (RNN), Long Short-Term Memory (LSTM) and the use of historical water quality data over several years. Both multivariate single and multiple step LSTM models were developed, using a Rectified Linear Unit (ReLU) activation function and a Root Mean Square Propagation (RMSprop) optimiser was developed. The single step model attained an error of 0.01 mg/L, whilst the multiple step model achieved a Root Mean Squared Error (RMSE) of 0.227 mg/L.

We're officially a month into 2020 and the new decade is well underway. So much so, it is worth reflecting back as it jolted our eyes open and set the stage for what's to come. To sum it up in a word, data. Data, data everywhere – how to get it, how to use it, how to see it. Everywhere you looked there were analytics dashboards.

According to him, there are various test kits that get individuals the results of whether or not they have the virus in just 20 seconds, noting that "it is a 96% accuracy rate too." Although Mr Appiah Mensah has faced various backlash from customers following the Menzgold saga, he has noted that the coronavirus menace is a national problem thus taking to his Instagram page to share some tips about how best he believes other countries in the world, especially, how Ghana can deal with the virus to get the needed healing. He said, "The procurement of the AI system developed by a Chinese tech Baidu, which uses cameras equipped computer vision and infrared sensors to do temperature predictions of masses in public places that are indispensable like, Government Ministries and Agencies, transport terminals, Courts market places and so. The AI system is capable of screening up to 200 people per minute and detects their temperature within a range of 0.5 degrees Celsius."

In recent times, organizations have been competing with one another to implement chatbots for various reasons, including enhancing customer experience, streamlining processes, and fueling the demand for digital and innovative technologies. Cognitive technologies such as chatbots have become an apt candidate for end-use application as they have high automation feasibility, high potential of accuracy, low complexity and low execution time. Raising the bar through intelligence, virtual assistants have been propelled by advancements of mobile technology. Technology giants are putting their weight on a platform designed to answer ad-hoc queries in real-time and fuel sales as chatbots can remember customer preference and use order history to learn from customer responses to the product advertisements, suggest products, and cross-sell aptly. For instance, if a customer asks for a pizza recommendation with a chatbot, it can remember which pizza the customer ordered and follow up with it when offering a recommendation for another pizza or a restaurant.

This year, artificial intelligence is the buzzword. On university campuses, students who just graduated high school are checking out the latest computer science course offerings to see if they can take classes in machine learning. The truth about the age of Artificial Intelligence has caught many university administrator's attention. In the age of AI, to be successful, everyone, no matter what jobs, skill sets, or majors will at some point encounter AI in their work and their life. Penn State saw the benefits of working on AI projects early, specifically when it comes to teamwork and collaboration.

This year, artificial intelligence is the buzzword. On university campuses, students who just graduated high school are checking out the latest computer science course offerings to see if they can take classes in machine learning. The truth about the age of Artificial Intelligence has caught many university administrator's attention. In the age of AI, to be successful, everyone, no matter what jobs, skill sets, or majors will at some point encounter AI in their work and their life. Penn State saw the benefits of working on AI projects early, specifically when it comes to teamwork and collaboration.

Earlier this week, five organisations released an open dataset – CORD-19 – containing nearly 30 000 scientific articles with the hopes that artificial intelligence will be able to use the data and combat the spread of COVID-19 infections. These articles have previously been published in journals, or were saved on pre-print servers. CORD-19 is short for COVID-19 Open Research Data set. The CORD-19 dataset was released after the Trump administration issued a "call to action" for the tech community to develop AI (artificial intelligence) techniques to curb the spread of COVID-19 infections. In addition, Michael Kratsios, US Chief Technology Officer at The White House, explained that "decisive action from America's science and technology enterprise" was needed to prevent, detect, treat and develop a cure for COVID-19.

Earlier this week, five organisations released an open dataset – CORD-19 – containing nearly 30 000 scientific articles with the hopes that artificial intelligence will be able to use the data and combat the spread of COVID-19 infections. These articles have previously been published in journals, or were saved on pre-print servers. CORD-19 is short for COVID-19 Open Research Data set. The CORD-19 dataset was released after the Trump administration issued a "call to action" for the tech community to develop AI (artificial intelligence) techniques to curb the spread of COVID-19 infections. In addition, Michael Kratsios, US Chief Technology Officer at The White House, explained that "decisive action from America's science and technology enterprise" was needed to prevent, detect, treat and develop a cure for COVID-19.