Tag: artificial intelligence

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AI and Product Strategy: Three Essentials to Know

AI and Product Strategy: Three Essentials to Know

Artificial intelligence (AI) is profoundly reshaping the way organizations operate today. Its influence spans from enhancing customer experiences to streamlining internal processes, leaving a significant mark across industries. Estimates suggest that by 2030, AI could contribute an astounding $19.9 trillion to the global economy, emphasizing its transformative potential. Naturally, product teams are feeling the effects…

Handling Holiday Customer Traffic with AI

Handling Holiday Customer Traffic with AI

The holiday season brings a significant surge in demand for customer service, driven by the rise of online shopping. Businesses increasingly turn to artificial intelligence (AI) and automation to bridge the gap in support during these high-pressure periods. With AI-powered tools like chatbots and automated systems, companies can handle demand spikes effectively without compromising performance….

AI and Digital Transformation: Revolutionizing Future in 2025

AI and Digital Transformation: Revolutionizing Future in 2025

Artificial Intelligence (AI) has evolved from a mere buzzword to the driving force behind a transformative wave of digital innovation. As we approach 2025, AI’s integration into business strategies is reshaping industries and paving the way for groundbreaking advancements. From machine learning to natural language processing (NLP), digital transformation is experiencing a seismic shift. Let’s…

Mastering AI-Powered Data Visualization in 2024: Preparing for the Next Wave in 2025

Mastering AI-Powered Data Visualization in 2024: Preparing for the Next Wave in 2025

As we close out 2024, the pace of data visualization innovation will continue to accelerate. For B2B businesses, the ability to transform complex data into actionable insights is now a necessity rather than a luxury. Central to this evolution is Artificial Intelligence, which is reshaping dashboards and data visualizations to enable organizations to make faster,…

Revolutionizing E-Commerce with AI: Implementing Phygital Technology

Revolutionizing E-Commerce with AI: Implementing Phygital Technology

The advent of AI-powered adaptive commerce is transforming B2B e-commerce for enterprises across various sectors. Beyond merely enhancing customer insights or product recommendations, AI is now driving a new approach that blends physical and digital realms—often referred to as “phygital.” By integrating AI into physical environments, B2B e-commerce firms are crafting seamless and engaging shopping…

Danielle Supkis Cheek, VP, Head of Analytics and AI at Caseware – AITech Interview

Danielle, you have an impressive background in both academia and professional services. Could you start by sharing your journey and what led you to your current role at Caseware as VP, Head of Analytics and AI? My journey to my current AI and analytics role at Caseware hasn’t been typical, but it has given me…

Digital Biomarkers & AI/ML: Pioneering the Future of Healthcare

Digital Biomarkers & AI/ML: Pioneering the Future of Healthcare

The healthcare sector is undergoing rapid transformation, driven by a deeper understanding of patient needs and the adoption of cutting-edge technologies. At the forefront of this evolution are digital biomarkers and AI/ML, which serve as critical enablers of next-generation healthcare solutions. This paper examines the historical development, impact, and future trajectory of these technologies to…

Why AI is Both a Risk and a Way to Manage Risk

Why AI is Both a Risk and a Way to Manage Risk

Artificial intelligence (AI) is a relatively new field that has rapidly evolved into a major influence on the strategic direction of organizations. Its significance extends far beyond automation, enhancing complex decision-making processes. AI is both a risk and a tool for managing risk—a paradox that organizations must confront as they navigate the landscape of 2024…

Training the Cybersecurity Workforce of the Future: 2024 and Beyond

Training the Cybersecurity Workforce of the Future: 2024 and Beyond

As the world navigates through 2024, cybersecurity gets more unpredictable and dangerous. With increased sophisticated cyberattacks like ransomware, phishing, and APTs, there has never been a higher demand for cybersecurity professionals. But after the rising tide, the industry stands at a significant skills gap, presenting organizations with vulnerabilities to breaches and data theft. Following a…

AITech Interview with Kiranbir Sodhia, Senior Staff Engineering Manager at Google

AITech Interview with Kiranbir Sodhia, Senior Staff Engineering Manager at Google

How do biased AI models perpetuate diversity disparities in hiring processes, and what role do diverse perspectives play in mitigating these biases in AI development? Companies that already lack representation risk training their AI models on the skewed data of their current workforce. For example, among several outlets, Harvard Business Review has reported that women…

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…

The Rise of Serverless Architectures for Cost-Effective and Scalable Data Processing

The Rise of Serverless Architectures for Cost-Effective and Scalable Data Processing

The growing importance of agility and operational efficiency has helped introduce serverless solutions as a revolutionary concept in today’s data processing field. This is not just a revolution, but an evolution that is changing the whole face of infrastructure development and its scale and cost factors on an organizational level. Overall, For companies that are…