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Established in 1998, Extentia is an Indo-German global technology consulting organization that delivers solutions to clients in 5 continents. Its focus is on Technology, Consulting, and Innovation for Mobile, Cloud, and Design.

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Solugenix Corporation has been partnering with and fulfilling the IT needs of some of the most well respected global corporations in the U.S. as an IT solutions and Service Management innovator since 1969

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Top Artificial Intelligence Innovation Trends for Businesses

Article | August 25, 2021

In recent years, the necessity has turned artificial intelligence (AI) from a mere spark to a mighty wildfire. Today, it has virtually impacted almost every bit of industries worldwide and has shown some truly promising trends. The critical factor responsible for the rise of AI in 2021 is the never-ending innovations in the technological world. As the nations across the globe are fighting their own battles against the spread of COVID-19, new tech trends are flourishing. And, on top of all, AI is playing a significant role in saving millions of lives and eventually boosting the economy. As a result, the augmentation of human intelligence into systems has become the primary agenda of all businesses, be it start-ups, mid-sized companies, or already established market giants. The run for developing top-notch AI solutions is getting faster and more intense as businesses get thirstier for offering competitive advantages to the consumers. No wonder why artificial intelligence innovations are on the up and up! This article sheds light on current hot trends in artificial intelligence innovation that businesses should be aware of. By doing so, they can simplify the process of error-free AI integration and deployment and reap material gains and several other tangible benefits. So, without further ado, let’s dive right into the top AI innovation trends in 2021 that are proving to be a much-awaited breakthrough. Artificial Intelligence | Latest Development & Trends AI, for businesses, is a game-changer for apparent reasons like boosting revenue, improving customer experience, growing efficiency, reducing operational costs, etc. To reap all the benefits of AI, businesses must be well aware of the latest advances in artificial intelligence. It will help them put the full range of AI and similar technologies like natural language processing and machine learning into their processes and expect a remarkable transformation in revenue, growth, productivity, and customer experience. AI is the New Normal for Enhanced Data Privacy and Cyber Security Malicious activities are one of the biggest problems businesses face. They have gotten even more prominent with the rise of technology. And, note that they will be a threat in the future as well. Thankfully, artificial intelligence is there to the rescue. The recent advances in AI make it even more powerful to distinguish precisely between fraudulent and legitimate transactions. Moreover, it can identify the anomalies in cloud data access and report them immediately. Artificial Intelligence in Robotic Process Automation (RPA) The significant use of Robotic Process Automation is to identify repetitive tasks and automating them. Therefore, it is a great way to improve the workflow, and many businesses use it for RPA’s real-world applications. AI, when integrated with RPA, can step up the game of process handling and automation. As per the current market analysis, insurance companies use RPA the most. Many of them are adopting AI to automate the claim processes without much human intervention. Real-Time Applications of Natural Language Processing for Better User Experience Companies need platforms that can bridge the gap between their intent and customer needs. As the demand for this grows, 2021 is seeing significant developments in natural language systems. While AI is at the core of this trend, natural language processing allows businesses to come up with better search results, virtual assistants, and tremendously sophisticated chatbots that, in turn, results in more business value creation and outstanding customer experience. Be Ready for Advanced AI Hardware The artificial intelligence future is incomplete without the evolution of AI hardware, particularly AI chips. Even though a regular processor can handle specific AI tasks, it's not as powerful as a customized AI processor. Specific systems power AI-specific chips to optimize deep learning performance. For the Businesses that need to operate a vast network of data centers to satisfy commercial cloud service needs, the applications of AI chips can be enormous. It can unlock more business value and can ease the internal company operations. Quantum Computing to Supercharge Real-World AI Applications Most businesses still count on standard binary-based computers to process the datasets. However, it has limitations. With the rise of quantum computing in recent years, the dream of achieving quantum supremacy is about to turn into reality. It has already come true in the form of a recently developed Jiuzhang computer. Integrating AI with quantum computing can eliminate the limitations in dataset processing. It allows businesses to run an innovative machine learning model through a relatively more significant dataset and develop more precise and practical results for real-time settings. Apart from this artificial intelligence breakthrough, several other factors like machine learning innovations are playing a crucial role in the development of quantum computing. Frequently Asked Questions What are the latest top artificial intelligence inventions businesses can benefit from? Here are the latest AI inventions of 2020 and 2021 you can use for the growth of the business: BrainBox AI Embodied Moxie TrailJectory Hadoop Ecosystem Meeting Owl What are the industries that must integrate AI to keep up with the market demands? If you own a company that deals with one or more of the following, you must look forward to integrating AI into your process: Customer Service Media and Entertainment Education Transportation Healthcare Manufacturing Marketing How are deep learning innovation trends helping the current world? AI is proving to be extremely useful in the current year. Here are the reasons: Artificial intelligence is helping in the fight against the COVID-19 pandemic. AI-driven biometric solutions are helping businesses in workforce and security management. Better forecasting for businesses with the help of ML-based time series analysis. 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Here are the reasons: Artificial intelligence is helping in the fight against the COVID-19 pandemic. AI-driven biometric solutions are helping businesses in workforce and security management. Better forecasting for businesses with the help of ML-based time series analysis. Improved efficiency and security in smart systems through AI and IoT integration." } }] }

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Artificial Intelligence 2020 Stories: The Great, the Glowing and the Gross Truths

Article | August 25, 2021

2020 has been an unprecedented year where we have seen more downs than ups. COVID-19 has impacted every aspect of our lives. But when it comes to digitisation and Artificial Intelligence, we have seen some impactful developments and achievements. As we approach the end of 2020, it is worth to look back at these AI stories to highlight the truths and discuss what it means for AI future direction. The Great Truth: Artificial intelligence played a crucial role in the detection and fight against COVID-19. Indeed, we have seen the emergence of the use of AI at hospitals to evaluate chest CT scans. With the use of deep learning and image recognition, COVID patients were diagnosed thus enabling the medical team to follow the necessary protocols. Another application was the triage of COVID-19. Once a patient has been diagnosed with COVID, AI has been used to predict the likely severity of the illness so the medical staff can prioritize resources and treatments. COVID has highlighted the need to deploy intelligent autonomous agents. As a result, we have seen both robots used at hospitals to diagnose COVID-19 patients and drones deployed to monitor if the public is adhering to social distancing rules. Another major AI contribution in the fight against COVID-19 is in the area of vaccine and drug discovery. Moderna’s vaccine that has been approved by US Food and Drugs Administration has used machine learning to optimise mRNA sequencing. The above is a proof that AI can make great contribution to mankind if it is used for “good”. The Glowing Truths: Some impressive AI results have been achieved. However, to leap forward a holistic and sustainable approach is needed. 2020 has seen some great AI achievements and leaps forward. The first example is Deepmind’s AlphaFold. The model scored highest at the Critical Assessment of Structure Prediction competition. The algorithm takes genetic information as inputs and outputs a three-dimensional structure. The model has impressively addressed a 50-year-old challenge of figuring out want shapes proteins fold into known as the “protein folding problem”. While Deepmind’s AlphaFold is a great achievement, it is noted by some scientists that it is unclear how the model will work with more real-world complex proteins. Thus, more work is needed in this area. The second example is OpenAI’s GPT3. The model is a very large network composed of 96 layers and 175 billion parameters. The model has shown impressive results for several tasks such as NLP questions & answering and generating code. However, it is noted that the model does not have any kind of reasoning and does not understand what it is generating. Furthermore, its large size makes it very expensive. It is also unsustainable carbon footprint wise; its training is equivalent to driving a car to the moon and back. While both AlphaFold and GPT3 models are both impressive achievements, there are some philosophical challenges/ questions that need to be addressed/ answered. The first question is about games/ simulated worlds vs. real world examples. Most often algorithms/models succeed in simulated world but fail in real world as the environment is more complex. How can we close the gap? How can we make the AI models succeed with complex tasks? I guess the first step is to apply AI to a real-world example with varied complexity levels. The second question is about the structure and the size of AI models. Do models have to be big? Can we come up with a new generation of algorithms/ models that are smaller is size and have more efficient computations? Well to answer this question we have to take a pause on deeplearning and explore new venues. The Gross Truths: Ethics and bias remain the main drawbacks of Artificial Intelligence. Over the last year, we had several prominent examples of AI ethics and bias issues. The first example relates to facial recognition: after several calls against mass surveillance, racial profiling and bias, and in light of Black Lives Matter movement starting in the United States, several tech companies such as Microsoft banned the police from using its facial recognition technology. The second example relates to the use of an algorithm to predict exam results during COVID-19 period: after accusations and protests that the controversial algorithm was biased against students from poorer backgrounds, the United Kingdom government was forced to ditch the algorithm. In the absence of regulations and tightened frameworks, ethics and bias will continue to be the main concerns surrounding the use of artificial intelligence. Looking into the future, AI adoption will continue to accelerate, and we will probably see more breakthroughs achieved by only if we start looking at the subject in a holistic and sustainable view. Focusing models on real world problems and reducing the models carbon footprint will be a major step forward. We need to move away from thinking that “more” is always “more”. Sometimes “more” is “less”.

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DIY: Hunting Azure Shadow Admins Like Never Before

Article | August 25, 2021

Cloud technologies are ubiquitous and most organizations rely on cloud vendors to provide them with critical services and computing workloads. This ecosystem makes organizations deeply dependent on their cloud infrastructure with the most popular cloud providers being AWS and Azure. In correlation to the increased importance of cloud environments, the opportunities for security threats in these environments have increased dramatically. For this reason, cloud security has become a crucial part of any organization’s security strategy.

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Adding AI to Products: A High-Level Guide for Product Managers

Article | August 25, 2021

In Augmented Apps, we examine how product teams are exploring AI and ML to make their products more intuitive and enhance the user experience. AI and machine learning (ML) are not just catchy buzzwords; they’re vital to the future of our planet and your business. Datasets have quickly grown too huge, complex, and fast-moving for humans to grapple with. Integrating AI and ML into your product or service is becoming basic table stakes for staying in the market. Doing it right can mean the difference between thriving in the new world of data and disappearing from it.

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Solugenix Corporation has been partnering with and fulfilling the IT needs of some of the most well respected global corporations in the U.S. as an IT solutions and Service Management innovator since 1969

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