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Journal : BULLET : Jurnal Multidisiplin Ilmu

Surge of Cyber Scams during the COVID19 Pandemic: Analyzing the Shift in Tactics Kacheru, Goutham; Bajjuru, Rohit; Arthan, Nagaraju
BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 02 (2022): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The global society was majorly impacted due to the COVID19 pandemic, introduction of new normal and providing different opportunities for the cyber criminals. The paper looks into the impact of the pandemic on cybercrime, pointing out how attacks have become more commonplace and varied during a time when people are more fearful. It shows how careful examination of cyber-attacks in light of significant events in the real world reveals new techniques being applied by them. At first, there was a certain lag between the start of the pandemic and cyber-attacks related to it. However, they gradually went up until we were receiving multiple unique attacks per day. Based on data from the UK, it shows (and uses published studies where applicable) how cybercriminals took advantage of within these situations during a series of major events or government announcements to identify and create relevantly targeted campaigns. Certain recommendations are made which may be able to mitigate cybersecurity impact and help guides individuals as they deal with the changing challenge landscape.
AI for Intelligent Customer Service: How Salesforce Einstein is Automating Customer Support Bajjuru, Rohit; Kacheru, Goutham; Arthan, Nagaraju
BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 05 (2022): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This paper focuses on the importance of Artificial Intelligence in Customer Relationship Management and how Salesforce Einstein GPT helps in managing our customer relations. This research, taking a qualitative approach using literature review and cases from Spotify and KONE examines how the companies profited by having Salesforce Einstein implementation. The research examines how AI can improve different areas of CRM such as customized customer experiences, predictive analytics and sales process optimization. OUTCOMES: Realizing the benefits of AI enabled CRM solutions in your organization for better customer interactions and relationship management.