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Complete Library
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AI in Marketing
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AI in Sales
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AI in Call Center
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AI in Manufacturing
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AI in Cyber Security
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AI in Customer Experience
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AI in Content Marketing
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News & Trends
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AI in Risk
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AI Nexus
AI is increasingly becoming mainstream in marketing automation, with over 51% of marketing leaders already using it and more planning to pilot in the next two years. This indicates that AI is the way forward. Incorporating it into your marketing automation software is the new normal. Find out what makes AI the next big thing, in this article.
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AI is transforming the UX design landscape by personalizing user experiences, improving efficiency, and automating tasks. In 2023, AI can help UI/UX designers in ideation and brainstorming, generative design, collaboration and automation, and user testing. Although AI adoption is increasing swiftly, it is predicted that AI will not replace human UX designers but serve as a tool to develop top-notch user experiences.
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Keeping an eye on the newest trends and leveraging the power of AI and ML is essential to ensuring that you gain a competitive edge in a digitally-dominated world. The emerging AI and ML trends that marketers should look out for in 2023 include ChatGPT, AI-enabled customer service, TinyML, and low code/no code innovations. Explore more about these trends in this article.
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AI algorithms are now generating written content with increasing accuracy and quality. This means that businesses and content creators can save time and resources by making use of AI-powered tools for content creation. AI is poised to become a major force in content creation and businesses should begin exploring its potential applications.
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Adaptive AI can help businesses improve customer satisfaction, reduce costs, increase revenue, and gain a competitive edge. Adaptive AI enables systems in adjusting their learning practices so that they can adapt to changes in real-world circumstances and deliver faster outcomes. Check this article to learn more about the practical applications of Adaptive AI in modern business scenarios.
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ChatGPT can analyze customer data and behavior to provide personalized recommendations that are tailored to individual preferences. By using natural language processing and machine learning, such chatbots can understand customer intent and provide relevant responses and solutions in real-time. With these technologies continuously evolving, it will be crucial for marketers to stay relevant to the latest developments and follow a customer-centric approach.
AI is increasingly becoming mainstream in marketing automation, with over 51% of marketing leaders already using it and more planning to pilot in the next two years. This indicates that AI is the way forward. Incorporating it into your marketing automation software is the new normal. Find out what makes AI the next big thing, in this article.
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AI and ML algorithms can be applied to analyze vast amounts of data and extract valuable insights to improve content discovery and visibility. In addition to this, AI and ML can help marketers to make data-driven decisions and improve their content marketing strategies over time. However, there are certain challenges associated with implementation of these technologies to yield accurate outcomes.
AI can analyze customer behavior and preferences to create targeted content that resonates with them. ML can also help optimize content for search engines, making it more SEO-friendly. By analyzing user search queries, ML can suggest keywords that will improve the content’s visibility on search engines. Additionally, AI-powered chatbots can provide instant responses to customer queries, improving their experience and increasing engagement.
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The use of AI in content creation has the potential to improve the quality and effectiveness of marketing efforts. In addition to this, AI can also provide marketers with valuable insights and recommendations to develop intelligent SEO strategies to outrank their competitors on the web. Check this article to learn how you can identify your competitors and create strategies to outrank them.
Technology simplifying complex business processes was highly anticipated for a long time. With all the buzz around ChatGPT, many other AI tools to automate marketing tasks have emerged. Use of AI by search engines to automate marketing tasks puts products in front of millions of audiences in just one click. Learn how hyper automated marketing is benefitting modern businesses, in this article.
AI and ML continue to transform our world as companies compete for consumer loyalty with real-time, intelligent experiences. Reports suggest that in the next three years, more than two-thirds of ML practitioners expect real-time applications to grow significantly. Get expert knowledge of how companies are expected to deploy AI and ML in 2023 to attract and retain customers.
Artificial intelligence can be smartly implemented in sales to predict customer behavior and identify cross selling and up selling opportunities.This can collectively help in reducing costs and boosting efficiency of the sales teams. In addition to this, AI in sales can help in enhancing advanced data analysis and conversation intelligence. Learn 5 best ways to implement AI for sales, in this article.
The inception of AI has revolutionized the way sales reps work. It gives access to brands about how their customers would behave and want to buy from them. There are 5 ways AI is changing sales – Personalized product recommendations, automated lead generation, predictive analytics for sales forecasting, intelligent chatbots for customer support, and automated contract generation. Read this article to get detailed insights about it.
AI has a unique place in sales processes. When combined with automation, AI sets the sales teams up for success. Implementing AI and automation is an excellent way to support salespeople and help them achieve their targets. Sales teams can utilize AI-driven data to predict, recommend, and make personalized decisions to engage prospects and close deals faster; the possibilities are endless!
Artificial intelligence is transforming businesses and its implementation into B2B sales processes has shown significant growth for organizations. While AI helps businesses automate the process of putting data into CRM systems, forecast demand, automate sales activities, and use analytics to understand customers better. AI will continue playing a crucial role in accelerating B2B sales in the future.
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AI has become an enabler for almost everything, making businesses boom. While the US has historically been the leader in AI-related research output, other nations like China, the UK, India, Japan, and Germany have also followed suit. Although there’s healthy competition among nations, winners would be those that drive AI systems beyond theoretical questions and apply them to practical problems.
Call centers have a paucity of resources to meet consumer challenges. There is a dearth of workers and costs are rising. Most consumers find it convenient to use text-based platforms to reach out to brands. Hence call centers are shifting toward digital communication and AI. Explore how AI-based bots help customer service agents and optimize call center efficiency, in this article.
AI is helping every sector reduce operational costs, provide actionable analytics, and exceed customer expectations. It has an equally important role to play in call centers. AI uses solutions like predictive routing, IVR, conversational AI, emotional intelligence AI, etc., in call centers to enhance the productivity of customer support reps, boost call resolution, and improve CX. Know more about it in this article.
When customers are able to do more research on their own, people on the frontline like sales and service have to face tougher unanswered questions. That’s where AI augments the frontline. It solves use cases through AI-enabled tools that have analytical & predictive capabilities. How brands use AI augmentation determines how tough or easy work would be on the frontlines.
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From time-consuming IVRs to AI-powered chatbots, contact centers have come a long way. When the pandemic changed the dimensions of customer experience, AI-based solutions allowed businesses to remain operational. Even industries like healthcare were quick to use AI as it became an enabler for exceptional CX. While forward-thinking organizations are using AI-powered self-service, conversational AI is helping call centers evolve.
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AI is powering call centers with numerous new capabilities to improve customer experience. It enables customer support agents to work more productively, reduce time spent on customer interactions, and increase customer engagement. With capabilities such as predictive routing, chatbots, AI-powered agents, and analytics, it is making customer service touch new dimensions of efficiency in its highly demanding environment.
Explainable AI (XAI) is concerned with developing algorithms that produce human-understandable results generated by AI-based systems. Researchers have surveyed the existing AI and XAI-based methods used in Industry 4.0 and identified the role of XAI in developing efficient smart cities, factories, and human-computer interactions. In the context of industry 4.0, what more can be expected of XAI? Find out in this article!
Cybercriminals are increasingly using data poisoning to reduce the effectiveness of AI and ML models that predict and stop data exfiltration, malware delivery and related cyber threats. To meet the challenge, most CISOs are working with top cybersecurity partners to develop effective AI and ML-based systems and platforms. Learn more about these challenges and how enterprises are defending themselves with AI and ML.
Cyberattacks are becoming more sophisticated and successful despite the emergence of new technologies in the cybersecurity landscape. However, organizations that use artificial intelligence and automation had a 74-day shorter data breach life cycle and saved $3 million on average more than those that didn’t. Find out how AI helps them to improve security, reduce risk and adopt the most effective cybersecurity policies.
Cyber threats have evolved continuously over the past few years. A total of 52 million data breaches were reported in the second quarter of 2022 and since then the number of security incidents have continued to rise. Despite this, AI has the potential to help enterprises guard against irreversible cyber-attacks. Learn how AI is making it possible.
The evolution of technology is followed by the growth rate in cyber attacks. In fact, NCSC, UK issued 34 million cyber alerts in 2021 alone. As these cyber crimes grow rapidly, it is important to leverage AI-enabled strategies that prevent security measures and protection from malicious attacks. Read this article to know how AI can help fight spam, phishing, and malware attacks.
Cybercriminals utilize advanced technology to breach the digital boundaries and exploit security vulnerabilities of enterprises. Artificial intelligence (AI) and machine learning (ML) can help security systems “be educated” to discover anomalies of behavioral changes as soon as they happen. For this reason, cybersecurity experts are hailing AI and machine learning as breakthrough technologies. Know how AI and ML are making it happen.
The use of AI in cybersecurity has already been a success. In recent years, companies such as FireEye, Microsoft, and Google have developed innovative AI approaches to detect malware, stymie phishing campaigns, and monitor disinformation campaigns, thus establishing AI as an integral part of cyber security. Discover how AI helps businesses stay safe from cyber threats and strengthen their cybersecurity infrastructure.
AI is transforming the UX design landscape by personalizing user experiences, improving efficiency, and automating tasks. In 2023, AI can help UI/UX designers in ideation and brainstorming, generative design, collaboration and automation, and user testing. Although AI adoption is increasing swiftly, it is predicted that AI will not replace human UX designers but serve as a tool to develop top-notch user experiences.
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75% of consumers agree that chatbots cannot handle complex queries. And inaccurate solutions given by chatbots can damage a business’ reputation. So, companies should be transparent about the limitations of chatbots and offer alternative channels to customers for more personalized support. As generative AI takes the next step with additional training, businesses will soon find stepping stones to personalization driven by chatbots.
ChatGPT seems to be the most intelligent AI product till date. But can this be considered a new era of AI, completely dominating the customer experience domain? ChatGPT currently might not meet all business requirements, but future developments in the AI sector can surely have a wide influence on customer experiences. Check this article to learn the impact of AI tools on customer experience.
Personalized user experience helps improve brand loyalty and customer satisfaction. Generative AI has the potential to create personalized and relevant content including text, imagery, and graphics. In coming times, Generative AI can work alongside CRMs to deliver better customer engagement. It can enable software systems to learn on their own. Learn how Generative AI is helping businesses with enhanced customer experience.
AI is being used in various field service operations. It can predict maintenance needs and identify potential problems before they occur, resulting in reduced downtime and operational costs. Also, businesses that use AI in field service operations stay ahead in customer retention and brand advocacy. Read this article to learn how businesses are transforming their field services by implementing artificial intelligence.
Companies have continued to invest heavily in their customer service initiatives. Along with the latest innovations such as live chat and chatbots, they are now taking a step forward with voice AI. In customer service departments, voice AI can support a multi-channel strategy, serving customers better in the channels they prefer. Find out how AI can be trained to understand customer concerns and navigate complex conversations.
AI algorithms are now generating written content with increasing accuracy and quality. This means that businesses and content creators can save time and resources by making use of AI-powered tools for content creation. AI is poised to become a major force in content creation and businesses should begin exploring its potential applications.
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ChatGPT can analyze customer data and behavior to provide personalized recommendations that are tailored to individual preferences. By using natural language processing and machine learning, such chatbots can understand customer intent and provide relevant responses and solutions in real-time. With these technologies continuously evolving, it will be crucial for marketers to stay relevant to the latest developments and follow a customer-centric approach.
AI chatbots come with multiple benefits including automating routine tasks, improving incident response times, detecting potential security threats and so on. Advanced AI chatbots can help deal with cybersecurity threats by creating security incident reports and suggesting recommended actions based on data. However, the advent of ChatGPT has opened new gates of AI-exploitation for hackers. Therefore, businesses need to use AI with caution.
Generative AI has the potential to create content, imagery, and synthetic data. Industries such as automotive, defense, and manufacturing can heavily benefit from AI innovations. However, businesses need to embed the right technologies to avoid potential threats. Check this in-depth article to learn various use cases of generative AI and how it is transforming the operations at enterprise level.
Most customer goals set by businesses are achieved by effective communication. Generative AI is a specialized segment that can widely help in creating personalized content in various forms including text, imagery, etc. However, using Generative AI to drive customer engagement and actions is a challenge for businesses. This article highlights 5 capabilities for your Generative AI to drive business impact.
Keeping an eye on the newest trends and leveraging the power of AI and ML is essential to ensuring that you gain a competitive edge in a digitally-dominated world. The emerging AI and ML trends that marketers should look out for in 2023 include ChatGPT, AI-enabled customer service, TinyML, and low code/no code innovations. Explore more about these trends in this article.
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Adaptive AI can help businesses improve customer satisfaction, reduce costs, increase revenue, and gain a competitive edge. Adaptive AI enables systems in adjusting their learning practices so that they can adapt to changes in real-world circumstances and deliver faster outcomes. Check this article to learn more about the practical applications of Adaptive AI in modern business scenarios.
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The emerging possibility of using AI to create digital immortality raises ethical and moral questions about the role of technology in shaping human experience. Creating digital replicas of individuals using AI raises ethical concerns about consent, authenticity, and the impact on human relationships and social interactions. Read this article to discover more about similar threats associated with AI/ML advancements.
In today’s fast-paced and digitally advanced world, businesses that don’t stay relevant with the latest technologies are always at a risk of being stagnant. AI and tech investments can help businesses automate routine tasks and optimize operations which can ultimately lead to increased profitability and sustainability. Learn why businesses should prioritize investments in AI & tech despite uncertainties in the economy.
AI and ML have become popular over the last few years due to the advancements in computing power. However, implementing AI and ML in a business setting can be hectic. New automation technologies can help fast-track AI and ML adoption and implementation. This article throws light on the implementation of AI and ML with the latest automation technologies in less time.
With leading agencies still figuring out new ways to improve workflows, streamline operations and reach target audiences, the efficiency achieved through AI has taken center stage in their strategies. A number of marketing and public relations firms are relying on AI to predict media trends, transcribe interviews and much more! Here’s how agencies are expected to leverage AI in 2023 and beyond.
Artificial Intelligence is at the core of risk management strategies and mitigates the vulnerabilities associated with the financial, cyber security, and manufacturing industries. The role of AI in risk management can not be overstated. Additionally, AI can reduce supply chain risks, mitigate the likelihood of product defects, and help several industries minimize risks and increase the likelihood of favorable outcomes.
Today, more businesses are relying upon artificial intelligence, machine learning, and the newest weapon in the security arsenal to manage cyber threats – blockchain! Integrating AI and ML into blockchain can help businesses swiftly respond to threats and developments in the digital marketplace, ultimately, protecting crucial data.
