Vulnerabilities in software applications are common. 85% of security incidents happen at the application layer. With the right security measures, the operations and development team can discover these vulnerabilities and fix them at an early stage in an SDLC.
There are 400 million active websites on the internet and all these websites are susceptible to vulnerabilities of one kind or the other. Even the microscale misconfigurations, such as improper validation, disclosure of server versions, and using vulnerable software libraries can lead to drastic security issues. To avoid the consequences, there is Application Security Testing.
Salesforce has been knocking its competition in the CRM world. Despite the existence of several industry-specific CRM solutions, Salesforce has been standing strong. One of the prime reasons for its success is its flexible integration services.
Automation is driving the decline of mundane and repetitive tasks. And this holds absolutely true for a software development cycle.
There is a provision to automate almost every aspect of a software development cycle- coding, testing, and even deployment.
If you’re leading the marketing campaigns of an organization, you could relate to this! The prospect data received from website forms, surveys, web browsing, a list of event attendees, or advertising is not enough to create opportunities and convert a lead.
The accuracy of deep learning models depends upon the quality, quantity, and contextual meaning of the training data set. However, the scarcity of this up-to-the-market data set is one of the major challenges in building DL models.
Salesforce is the world’s leading CRM with over 150,00 customers that include businesses, non-profits, and institutions. The cloud-based CRM unites sales, marketing, eCommerce, service, IT, etc. under a roof, enabling businesses to drive growth.
As a Chief Technology Officer (CTO) of an organization, who is either driving the technology team of a startup or leading IT operations in a megacorp; continuously innovating is the goal.
If you’re leading the software engineering cycle of a product or a software development firm, then the struggle to get answers to the following questions must be constant.
There are some key DevOps practices that enable organizations to automate and streamline the software development processes. Continuous Integration and Delivery (CI/CD), Continuous Deployment, Microservices, Infrastructure as Code (IaC), Containerization, Monitoring & Logging are a few of them.
Artificial Intelligence (AI) has introduced major breakthroughs as fintech solutions in the finance industry. Risk management, customer segmentation, credit scoring, personalized banking, process automation, etc. are some of the advantages of AI and its technologies that are leveraged by the finance sector.