Tag: Natural Language Processing

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AITech Interview with Dev Nag, CEO of QueryPal

AITech Interview with Dev Nag, CEO of QueryPal

Dev, can you start by sharing the journey that led you to establish QueryPal and what inspired you to focus on transforming customer support through AI-powered ticket automation? The journey to QueryPal began with my experiences at Google and PayPal, where I saw firsthand the challenges of scaling customer support. I realized that while AI…

AITech Interview with Robert Scott, Chief Innovator at Monjur

AITech Interview with Robert Scott, Chief Innovator at Monjur

Greetings Robert, Could you please share with us your professional journey and how you came to your current role as Chief Innovator of Monjur? Thank you for having me. My professional journey has been a combination of law and technology. I started my career as an intellectual property attorney, primarily dealing with software licensing and…

Quantum Natural Language Processing (QNLP): Enhancing B2B Communication

Quantum Natural Language Processing (QNLP): Enhancing B2B Communication

Suppose you’ve been working on landing a high-value B2B client for months, writing a proposal that you believe is tailored to their needs. It explains your solution based on the technological features, comes with compelling references, and responds to their challenges. Yet, when the client responds with a simple “thanks, we’ll be in touch,” you’re…

Leading Augmented Analytics Tools of 2024 – A Top Five Review

Leading Augmented Analytics Tools of 2024 – A Top Five Review

In this digital age, data is the new oil, especially with the emergence of augmented analytics as a game-changing tool that has the potential to transform how businesses harness this vast technological resource for strategic advantages. Earlier, the whole data analysis process was tedious and manual, as each project would have taken weeks or months…

Top Automated Machine Learning Platforms For 2024

Top Automated Machine Learning Platforms For 2024

With the rapid growth in the digital world, organizations are implementing Automated Machine Learning (AutoML) that helps data scientists and MLOps teams automate the training, tuning, and deployment of machine learning (ML) models. This technology will save time and resources for the data scientists and MLOps teams, which will accelerate research on ML and solve…

Major Trends Shaping Semantic Technologies This Year

Major Trends Shaping Semantic Technologies This Year

As we have stepped into the realm of 2024, the artificial intelligence and data landscape is growing up for further transformation, which will drive technological advancements and marketing trends and understand enterprises’ needs. The introduction of ChatGPT in 2022 has produced different types of primary and secondary effects on semantic technology, which is helping IT…

The Role of Artificial Intelligence in Social Media Marketing

The Role of Artificial Intelligence in Social Media Marketing

Social media has transformed marketing. Platforms like Instagram with its 2 billion subscribers allow businesses to connect directly with customers and build their brands through compelling visual storytelling. However, the highly competitive and fast-paced nature of social media also presents challenges. This is where artificial intelligence (AI) comes in. AI technologies are revolutionizing social media…

Unlocking potential: How AI is transforming drug development and material science

Unlocking potential: How AI is transforming drug development and material science

In recent years, artificial intelligence (AI) in the pharmaceutical industry has gained significant traction, especially in the drug discovery field, as this technology can identify and develop new medications, helping AI researchers and pharmaceutical scientists eliminate the traditional and labor-intensive techniques of trial-and-error experimentation and high-throughput screening. The successful application of AI techniques and their…