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ai for medical diagnosis

How Does AI in Medical Diagnosis Expedite It?

One of the most noteworthy developments in the healthcare industry in recent years has been the use of AI in medical diagnosis and treatment choices. A recent study estimates that by 2026, the US healthcare industry might save $150 billion annually because of the use of AI in healthcare.


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cold chain and logistics

How Artificial Intelligence is Transforming Cold Chain Logistics?

Enhancing the cold chain logistics is essential for delivering today’s biotherapies. Drug items with controlled temperatures require care and attention throughout travel, regardless of their value, fragility, or difficulty in obtaining. However, businesses risk spending extra money if they don’t choose cold chain architecture optimally.


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how is NLP used in healthcare

The Revolutionizing Effects of NLP in Healthcare Industry

NLP can also improve patient communication, expedite administrative chores, support personalized treatment and predictive analytics, and improve other elements of healthcare outside data. This blog will discuss various natural language processing approaches, applications of NLP in healthcare, and how is NLP used in healthcare.


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AI in Financial Modeling and Forecasting

Top 10 Applications of AI in Financial Modeling & Forecasting

Forecasting, budgeting, and variance analysis have historically relied significantly on manual tasks and historical data. The need for more data-driven and flexible techniques has grown due to market changes and complexity. AI in financial modeling and forecasting processes data from many sources, uncovering hidden patterns and producing predictions that surpass human capacity.


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AI in Drug Development

AI in Drug Development: How It is Transforming the Industry?

According to NCBI, every year, 6 to 7% of the world’s gross domestic product (about 8.5 to 9 trillion US dollars) is spent on healthcare. It can take up to 14 years and significantly exceed $1 billion to bring a novel drug to market. Across all therapeutic categories globally, the success rate in drug development is extremely low; for instance, 97% of cancer treatments fail during clinical trials.


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AI in healthcare

The Role of AI in Personalized Healthcare

The World Economic Forum projects that by 2030, AI in personalized healthcare will be valued at $188 billion worldwide. Due to the increased healthcare needs of the aging population, it is anticipated that the market will have a shortage of almost 10 million doctors, nurses, and midwives in that same year.


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AI clinical trials

How AI in Clinical Trials is Improving Patient Outcomes?

Sponsors and clinical researchers should anticipate using AI in clinical trials. AI software development solutions have the potential to revolutionize clinical trials by streamlining and improving the patient experience. 30% of patients leave clinical trials on average after they start, and 80% of trials fail to enroll patients by the appointed time.


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Gen AI in ecommerce

Generative AI in Ecommerce: Top Use Cases Boosting Profits

When it comes to the latest technologies, the ecommerce sector has always embraced them first, whether it be Generative AI, AI, or IoT. It has transformed online commerce and offered creative ways to improve almost all facets of online enterprises. Businesses can use generative AI in ecommerce for customer data analysis, AI-driven analytics, inventory, and supply chain management to provide a more personalized buying experience.


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AI predictive analytics in retail

Predictive Analytics in Retail & eCommerce: 8 Crucial Ways to Achieve Success

Ecommerce and retail businesses frequently encounter operational issues such as overflowing stockrooms following a significant sale or missed sales because of underestimating demand. In this sector, predicting consumer behavior might seem like a never-ending game of guesswork.


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e-commerce demand forecasting

How to Win at Ecommerce Demand Forecasting in 2024?

People aren’t machines. They don’t always behave in the same ways, which can cause problems for an eCommerce business. For instance, a product that did well in sales the previous month may collect dust in a warehouse. Businesses must be knowledgeable about ecommerce demand forecasting to prevent this.


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ai in e-commerce

AI in eCommerce: How It is Changing Online Shopping?

AI in eCommerce is being embraced more than any other industry. AI use cases in e-commerce include smart logistics, pricing optimization, sales/demand forecasting, and personalized product recommendations. Businesses implementing AI business strategies see at least a 20% increase in revenue and an average 8% decrease in expenses.


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e commerce supply chain

E-Commerce Supply Chain Management: Your One-Shot Guide

E-commerce businesses rely heavily on their supply chain management to thrive. Profitable and satisfied consumers are intimately correlated with efficient supply chain management. Good supply chain management techniques directly improve the foundation of e-commerce businesses when they are applied correctly.


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Digital Twins in Manufacturing

Top 8 Benefits of Digital Twins in Manufacturing Systems

Optimizing productivity, raising business profitability, and maximizing overall equipment effectiveness (OEE) all depend on knowing what is occurring now and forecasting what will happen in the future on the manufacturing line. Digital twins in manufacturing let businesses accomplish these goals.


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AI energy consumption

How AI is Reducing Energy Consumption in Manufacturing Industries?

With its ability to foresee energy demand—particularly by anticipating machinery usage and malfunction, AI reduces energy consumption in manufacturing industries and improves process efficiency. To maximize energy efficiency across sectors, infrastructure, and buildings, artificial intelligence will become an increasingly important differentiator.


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AI in Manufacturing

How AI in Manufacturing Industry is an Ultimate Game Changer?

What if machines could think, learn, and make decisions like humans? AI is already here and is revolutionizing the manufacturing industry, so don’t worry if it sounds like a sci-fi idea. Experts estimate that AI in manufacturing industry will reach a staggering $16.3 billion by 2027, expanding at an average annual rate of about 47% between 2022 and 2027.


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Generative ai in healthcare

Generative AI in Healthcare: Reshaping Health Dynamics

Deepak Mittal, CEO and Founder of NextGen Invent, and Partha Anbil, Advisor at NextGen Invent, conducted an insightful interview on the transformative impact of Generative AI in healthcare for 2024. Partha is a long-time Life Sciences consulting industry veteran, currently working as SVP & Practice Leader for Life Sciences.


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Big Data in Manufacturing

Importance and Use Cases of Big Data in Manufacturing

The days of manually mining, organizing, and managing vast amounts of heterogeneous data or conducting tests to verify theories are long gone for data scientists. By 2026, the big data in manufacturing is expected to grow to $9.11 billion. Manufacturers can predict business outcomes, improve product quality, and lower equipment downtime…


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IoT in manufacturing

How IoT in Manufacturing is Revolutionizing the Industry?

IoT in manufacturing is now a key factor that is changing the ever-changing Industry 4.0 landscape. The way industries use data, interact, and function has changed as a result of IoT. In fact, according to a survey of executives in the manufacturing industry, 86% of them thought that smart factory projects would propel the industry during the next five years.


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Generative AI in the Manufacturing Industry

7 Most Important Use Cases of Generative AI in Manufacturing

Consider a scenario in which data is more than just numbers and figures. Rather, it is a dynamic force that molds the fundamental essence of business activities. That is the exact contribution that generative AI in manufacturing makes. Disruptions in the supply chain, however, have seriously affected the revenue of certain businesses.


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Data Management vs Data Governance

Data Governance vs Data Management: The Ultimate Comparison

Many times, people ask whether there is a distinction between data governance vs data management. Obviously, the response is yes. Organizational structures, data owners, rules, procedures, business language, and metrics for the entire lifecycle of data are all defined by data governance. Data management is the technical execution of data governance.


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Cognitive Analytic

How Cognitive Analytics Can Empower Your Business Outcomes?

Ever contemplated ways to increase the bottom line of your business? Cognitive analytics is the solution. With the use of artificial intelligence and machine learning, it analyzes enormous volumes of data and produces insights that can spur growth for businesses. A study found that applying cognitive solutions reduced customer service expenses by 50%.


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supply chain resiliency

Why is Supply Chain Resilience Important All Year Round?

On June 4th, 2024, Deepak Mittal, CEO and Founder of NextGen Invent, and Duane Kotsen, Partner at Marlborough Street Partners and Advisor of NextGen Invent, partnered to delve into the critical topic of supply chain resilience. In this comprehensive interview, Duane shared why robust supply chain strategies are indispensable year-round.


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What is data lake

Benefits of Data Lake: Why Does Your Business Need Data Lake?

One of the most revolutionary things the world is seeing right now is the sheer amount of data we are gathering. Approximately 2.5 quintillion bytes of data are created every day, according to research. The success of a company depends on all this data, as well as how companies preserve it.


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big data analytics in business

How is Data Analytics in Business Driving Growth?

Businesses are gathering enormous amounts of data in today’s ever-changing business environment. They have access to a multitude of data, ranging from website traffic and social media marketing to consumer contact and sales information. The amount of data in the globe is predicted to reach 175 zettabytes by 2025.


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