Even for the most effective marketing teams, it is impossible to achieve sustainable growth with poor customer retention rates. While companies are always eager to increase their pool of viable prospects and convert them into new opportunities for sustained growth, they need to nurture and deepen relationships with existing customers to survive in competitive markets. […]
AI and Data Privacy: Where Do They Intersect?
According to new research from IBM, 35% of companies now use AI in their business. From health care to manufacturing to government, data-driven organizations across all major industries are realizing the benefits of AI: automation of repetitive tasks, faster processing of data, improved accuracy, and more. But as AI adoption becomes more widespread and advanced, business leaders […]
MLOps: Why Now for Open Source
According to Gartner, a whopping 47% of machine learning experiments fail to reach experimentation. This number is stunning on the surface, but it is even more troubling when you consider the deluge of demands the MLOps workforce is facing in the wake of the COVID-19 pandemic. With the MLOps market size set to balloon to over $6 […]
Data Supremacy: The Precursor to AI Supremacy
The arguments for greater urgency to attain AI supremacy have raged for years among technology experts and national policymakers. Some have cited serious concerns due to U.S. lethargy in tech development. Others posit the race for AI supremacy is actually one between U.S. and Chinese private-sector companies like Amazon and Alibaba. While important for national security and […]
AI and Machine Learning: Friend or Foe to Mankind?
While humans may be the most intellectual creations and sit atop the “food chain,” artificial intelligence (AI) is a branch of computer science that can simulate human intelligence in many cases. AI is implemented via machine learning (ML) and performs tasks traditionally executed by humans. Like it or not, AI and ML technologies are here to stay […]
Maximize the ROI of Your Enterprise Data Lake
With organizations embracing digitization in a big way, the generation of data has grown manifold. According to IDC, the growth of data will be huge across industries, from 16 zettabytes to 160 zettabytes. The data being talked about is useful for businesses to draw insights, formulate strategies, and understand trends and customer behavior, among others. […]
Complete Guide to Image Labeling for Machine Learning
Image labeling enables you to tag and identify specific details in an image. In computer vision, image labeling involves adding specific tags to raw data, including videos and images. Each tag represents a certain object class associated with this data. Supervised machine learning (ML) models utilize labels to learn to identify a certain object class within unclassified […]
Getting to AI Adoption at Scale
Everyone wants to increase the adoption of their AI programs, but there are several “chicken and egg” problems to overcome: How do we get the resources to build out the technical infrastructure required to use AI at scale, when we have not proven the value yet? How do we create a culture of data-driven decision-making […]
SERP-Driven, Dynamic Sentiment Impact Analysis
Sentiment analysis is not entirely new. Businesses have been attempting to generate insights from various pieces of content for some time now. With automated data collection becoming more accessible, sentiment analysis can be done by nearly anyone. While it’s often used by research and development departments for product analysis or by finance institutions to drive […]
Leveraging Enterprise AI
Leveraging enterprise artificial intelligence (AI) provides a system that can automate repetitive tasks, answer questions, and improve decision-making. The AI operates machine learning extensions and automated services to deliver satisfying customer experiences and can streamline research projects. Enterprise AI can be described as a combination of machine learning and deep learning algorithms. With enterprise AI, managers and […]