Sisense

AUGUST 14, 2020

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. Safeguarding software and users: AI in cybersecurity apps.

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

GAVS Technology

AUGUST 17, 2021

These technologies are expected to lead to disruptive innovation in all spheres. Companies consider fake content as malicious & a cybersecurity concern and respond accordingly. Most organizations have updated their cybersecurity systems making them less vulnerable to any false content.

Cybersecurity 40

Cybersecurity Healthcare Artificial Intelligence Government 40

Astera

JANUARY 24, 2024

Overcoming Common C hange D ata C apture Challenges Bulk Data Management Handling the bulk of data requiring extensive changes can pose challenges for the CDC. CDC is helpful in capturing and analyzing data changes in real – time. With CDC, a cybersecurity firm can detect and respond to security breaches.

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52

Astera

AUGUST 15, 2023

Data Format Standardization: EDI relies on standardized data formats and protocols for seamless data exchange between different parties. Ensuring uniformity in data formats and protocols can be challenging when dealing with multiple stakeholders who may have varying systems and data requirements.

Finance 52

Finance Data Security Customer Experience Customer Experience 52

Analysts Corner

AUGUST 11, 2022

Among the downsides of a public cloud are limited customization and a higher risk of a data breach since public clouds are available to anyone. So when choosing a public cloud services provider, it’s worth paying much attention to the cybersecurity measures it has in place. When to use?

IBM Support 130

IBM Support IBM Maintenance IBM cost Digital Transformation 130