by on February 29, 2024
In a highly regulated business environment, it is a challenging task for IT organizations to manage data-related risks and compliance issues. Despite investing in the data value chain, C-suites often do not recognize the value of a robust data governance framework, eventually leading to a lack of data governance in organizations. Therefore, a well-defined data governance framework is needed to help in risk management and ensure that the organization can fulfill the demands of compliance with ...
1 view 0 likes
by on February 23, 2024
The ever-evolving digital landscape presents a constant challenge in the face of cyber threats. While traditional security methods offer a foundation, their limitations often become apparent. AI & Cybersecurity emerges as a powerful new tool, promising to enhance existing defenses and even predict future attacks. However, embracing AI necessitates careful consideration of ethical implications and fostering harmonious collaboration between humans and algorithms. Only through such mindful implemen...
5 views 0 likes
by on February 19, 2024
According to research from VMware Carbon Black, ransomware attacks surged by 148% during the onset of the Covid-19 pandemic, largely due to the rise in remote work. Key trends influencing the continuing upsurge in ransomware attacks include: Exploitation of IT outsourcing services: Cybercriminals are targeting managed service providers (MSPs), compromising multiple clients through a single breach. Vulnerable industries under attack: Healthcare, municipalities, and educational facilities ar...
5 views 0 likes
by on February 19, 2024
Currently, the two most dominant technologies in the world are machine learning (ML) and artificial intelligence (AI), as these aid numerous industries in resolving their business decisions. Therefore, to accelerate business-related decisions, IT professionals work on various business situations and develop data for AI and ML platforms. The ML and AI platforms pick appropriate algorithms, provide answers based on predictions, and recommend solutions for your business; however, for the longest...
5 views 0 likes
by on February 15, 2024
Artificial intelligence (AI) has been a game changer in the business landscape, as this technology can analyze massive amounts of data, make accurate predictions, and automate the business process. However, AI and ethics problems have been in the picture for the past few years and are gradually increasing as AI becomes more pervasive. Therefore, the need of the hour is for chief information officers (CIOs) to be more vigilant and cognizant of ethical issues and find ways to eliminate or reduc...
8 views 0 likes
by on February 7, 2024
Outline of the Article Introduction to Explainable AI Importance of Explainable AI ...
11 views 0 likes
by on February 7, 2024
Explainability is crucial in AI applications. How does Kyndi ensure that the answers provided by its platform are explainable and transparent to users? Explainability is a key Kyndi differentiator and enterprise users generally view this capability as critical to their brand as well as necessary to meet regulatory requirements in certain industries like the pharmaceutical and financial services sectors. Kyndi uniquely allows users to see the specific sentences that feed the resulting gener...
8 views 0 likes
by on February 7, 2024
We are living in an era of change, where industries are changing their traditional way of managing and streamlining organizational goals. SMEs and SMBs are gradually gaining market share and developing well-known brands, eliminating the term monopoly, as any business with an appropriate data strategy can create its own space in this competitive landscape. To stay competitive, businesses are attracted to two potential technologies: artificial intelligence (AI) and business intelligence (BI). C...
9 views 0 likes
by on February 5, 2024
The emergence of artificial intelligence (AI) has continually reshaped a range of sectors across the business world. However, the convenience of AI needs to be balanced against the environmental consequences and the unplanned actions that often arise from the unnecessary usage of hardware, energy, and model training. With the knowledge of digital technologies and a robust foundation to support sustainable development, chief information officers (CIOs) should consider implementing AI initiativ...
9 views 0 likes
by on February 1, 2024
We live in an ecosystem where we desire a personalized experience, from music to web series, and the products and services we purchase are often recommended to us based on the data that is collected by these websites or applications. This ability lets us understand our needs and wants for a better living experience. Similarly, in the healthcare industry, we can monitor our health and get personalized treatment with the help of artificial intelligence (AI), Natural language processing (NLP)...
12 views 0 likes
by on January 30, 2024
In today’s digital era, the merge of artificial intelligence (AI) and the Internet of Things (IoT) has kicked off a tech revolution that tends to reshape numerous industries across the globe with a vision that this transformation helps businesses enhance efficiency and drives innovations at an unprecedented pace. For a better understanding, IoT is all about an extensive network of connected devices with an embedded sensor that collects and transfers large-scale data that is processed accordin...
8 views 0 likes
by on January 22, 2024
Discover how AI contributes to the preservation of industrial assets, extending their operational lifespan and maximizing the return on investment. Understanding AI-Based Predictive Maintenance: Predictive maintenance involves forecasting potential equipment failures based on historical data, real-time monitoring, and analysis. AI takes this a step further by employing advanced algorithms and models to sift through vast amounts of data, identifying patterns and anomalies that may go unnoti...
11 views 0 likes