Challenges and Opportunities for Autonomous Vehicles with AI
Another day, another AI headline. Meta has introduced new AI chatbots, embodied by celebrities, in a bid to mix information with entertainment. Amazon has invested up to $4B in its rival, Anthropic; and Google has launched Gemini, to compete with GPT-4. That’s just some of the AI stories within the last quarter involving three of…
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The Crucial Role of Algorithm Auditors in Algorithm Detection and Mitigation
In our increasingly data-driven world, algorithms play a significant role in shaping our lives. From loan approvals to social media feeds, these complex programs make decisions that can have a profound impact. However, algorithms are not infallible, and their development can be susceptible to biases. This is where algorithm auditors step in, acting as crucial…
Beyond Numbers: Unveiling the Power of Data Literacy in the Digital Age
As we have entered the digital era, data and analytics strategies (D&A) have become important, as these technologies can transform any business during a massive data spike. According to global research, it was observed that around 2.5 quintillion bytes of data are produced by IT companies every day; therefore, to understand the importance of data,…
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…
Future of Data: Building a Unified Architecture with Data Fabric
Data has always been at the core of a business, which explains the importance of data and analytics as core business functions that often need to be addressed due to a lack of strategic decisions. This factor gives rise to a new technology of stitching data using data fabrics and data mesh, enabling reuse and…
Revolutionizing Mental Healthcare with Artificial Intelligence
With the dawn of the COVID-19 pandemic, mental health has become an area of concern, as more than 1 billion humans every year seek help from clinicians and therapists to cure problems such as depression, anxiety, and suicidal thoughts. This inevitable growing pressure has stretched healthcare and therapeutic institutes to choose smarter technologies such as…
Kognic, CEO and Co-founder of Kognic, Daniel Langkilde – AITech Interview
To start, Daniel, could you please provide a brief introduction to yourself and your work at Kognic? I’m an experienced machine-learning expert and passionate about making AI useful for safety critical applications. As CEO and Co-Founder of Kognic, I lead a team of data scientists, developers and industry experts. The Kognic Platform empowers industries from…
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…
Navigating the Future With the Integration of Deep Learning in Big Data Analytics
In the fast-growing digital world, deep learning (DL) and big data are highly used methods for data scientists. Numerous companies, such as Yahoo, Amazon, and Google, have maintained data in Exabytes, which helps generate large amounts of data with the help of big data analytics and deep learning tools and techniques. Earlier data scientists used…