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Cigniti

3 Ways Analyst Relations Professionals Can Leverage AI

Jul 15, 2024 By Rahul Basarkar In Cigniti
How to leverage artificial intelligence to enhance the value and impact of analyst relations. Analyst relations (AR) is a strategic function that aims to build and maintain positive relationships with industry analysts, influencers, and experts who provide insights, guidance, and recommendations to technology buyers and vendors.
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testlio

Top 10 Mobile App Security Threats

Jul 12, 2024 By Testlio In Testlio
With mobile apps expected to reach more than 183.7 billion installations globally, there has also been an increase in mobile app security threats. Today’s cyberattacks are highly sophisticated, requiring constant vigilance due to many unknown or emerging threats. These threats require a proactive approach to mobile application security. End users can take steps to protect sensitive data on their devices, such as avoiding unprotected public Wi-Fi and setting up multi-factor authentication.
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antino

Top iOS Frameworks for building scalable iOS app

Jul 12, 2024 By Peeyush Shrivastava In Antino
The current period is witnessing a remarkable upswing in the mobile app development industry, especially following the rollout of the latest frameworks in iOS. This surge is accompanied by several revolutions occurring simultaneously, each influencing and intertwining with the others. With the advent of digital transformation, there's a potential tenfold increase in app speed, and wearable tech is giving rise to seamless integration with our physical world.
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confluent

Building a Full-Stack Application With Kafka and Node.js

Jul 11, 2024 By course In Confluent
A well-known debate: tabs or spaces? Sure, we could set up a Google Form to collect this data, but where’s the fun in that? Let’s settle the debate, Kafka-style. We’ll use the new confluent-kafka-javascript client (not in general availability yet) to build an app that produces the current state of the vote counts to a Kafka topic and consumes from that same topic to surface them to a JavaScript frontend.
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qlik

Harnessing Global Perspectives for AI Industry Leadership

Jul 11, 2024 By Kelly Forbes In Qlik
Besides a few initiatives, global efforts to address the unprecedented challenges and opportunities presented by AI remain fragmented. The recent "AI Safety Summit" provided a crucial opportunity to emphasize the importance of international perspectives to fully tap into AI's potential. It has helped guide the conversation around responsible AI development and governance, ensuring the benefits of AI are maximized while mitigating its risks.
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antino

How to develop a Women's Fashion App like Shein - Antino

Jul 10, 2024 By Peeyush Shrivastava In Antino
As the e-commerce industry continues to expand rapidly, projected to surge from 4,248 billion dollars to 12 trillion dollars by 2027, it's evident that the sector is continually growing. Retailers are also actively seeking avenues to tap into this flourishing sector, often emulating the success of leading e-commerce platforms through app cloning.
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Gen AI in Healthcare: Harnessing its Potential in Innovation & Personalized Care

Jul 10, 2024 By Cigniti In Cigniti
GenAI can unlock a trillion-dollar opportunity in healthcare, says McKinsey. But how would this unfold? Tune into this podcast where Senior healthcare IT leader Ajay Behuria shares deep insights and vision for GenAI's transformative potential—from reshaping healthcare delivery to optimizing remote patient assistance and ensuring fairness in AI solutions. In this session, Ram Mamidanna, SVP of Digital Engineering Services at Cigniti, delves into real-world implementation journeys, strategies for adoption, and overcoming challenges in integrating GenAI with enterprise architecture.
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bugfender

Swift Machine Learning: Using Apple Core ML

Jul 10, 2024 By Sachin Siwal In Bugfender
A sub-discipline of artificial intelligence (AI), machine learning (ML) focuses on the development of algorithms to build systems capable of learning from, and making decisions based on, data. In iOS development, ML allows us to create applications that can identify patterns and make predictions, adapting a user’s experience by learning from their behaviour.
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