The increasingly outstanding role of Generative AI (Artificial Intelligence) in our daily lives is impossible to ignore. It revolutionized various industries and transformed the way we interact with technology. Nowadays, a wide range of AI tools such as ChatGPT and Google Bard will increase your productivity. In addition, some of them become the most crucial assistants of marketing teams like AI image creators or AI short video creators. In this blog, we will show you 5 awesome and free AI tools to help your team’s productivity. Microsoft Designer: Image Creators Microsoft Designer is equipped with an array of features and tools that facilitate the creation of captivating visuals. Whether you're a marketer, content creator, or simply someone who wants to add visual appeal to your work, this software provides a user-friendly interface and an extensive library of resources to bring your ideas to life. One of the standout features of Microsoft Designer: Image Creators is its vast collection of pre-designed templates. These templates serve as a starting point, allowing users to quickly customize and personalize their visuals. With a wide range of categories, users have the flexibility to create visuals for their specific needs. Lumen 5: Video Creators Lumen 5 is an online video creator platform with various tools, that help you to make a video in a few steps. With a vast library of high-quality images, videos, and more, Lumen5 empowers you to enhance your videos with captivating visuals. It also offers a range of customization options, allowing you to personalize your videos with your brand logos, and color schemes. Beyond its user-friendly interface and extensive resource library, Lumen5 embraces the principles of storytelling and visual impact. The platform offers a range of video editing tools that enable you to fine-tune your videos, adding transitions, captions, and effects to enhance their overall quality and engagement. This emphasis on storytelling and visual aesthetics ensures that your videos not only convey information but also evoke emotions and leave a lasting impression on your viewers. JADBio: Auto Machine Learning JADBio is an intuitive machine learning platform designed to be accessible without coding expertise, while still providing powerful knowledge extraction tools. JADBio allows users to upload and analyze curated data from various domains. This versatility makes it particularly valuable for students looking to explore machine learning, such as determining which potato variety will yield the best fry (binary classification). Notably, JADBio offers a lifetime free account, and its user interface is designed to be straightforward and user-friendly. >> Related: Sales Performance Increases 200% With Generative AI Copy.ai: CopyWriter Copy.ai is an exceptional AI tool for digital marketing, offering valuable assistance in enhancing marketing strategies. For those seeking a free AI copywriter, Copy.ai stands out as an excellent choice. With Copy.ai's free AI copywriting tool, generating unique and compelling content becomes effortless. Copy.ai provides a brief description of your desired topic. As a result, you can effortlessly obtain content suitable for various platforms such as blogs, and social media. This tool proves particularly beneficial…

Currently, AI has been mentioned uncountable times as the innovation of the contemporary era with rich material and potential to exploit. As a technology profession, the generative AI field is a competitive and fast-paced market with AI trends updated regularly and even unexpectedly. Furthermore, AI, besides its function as a machine learning tool with tasks like answering questions, translation, or creation. It should be perceived beyond this limit with broader exposure. Thus, generative AI trends matter significantly and are utilized for the customer experience ecosystem. Its popularity is undeniable by governments and businesses spend on AI technology $500 billion in 2023, according to IDC research. But how will it be used, and what impact will it have? Instead of merely understanding, let's see through the breakdown of generative AI trends. What is Generative AI? Generative AI algorithms utilize pre-existing data to generate completely novel content that has never before physically existed. The forms are videos, images, sounds, or even computer code. Among AI trends, this one is pretty common with the emergence of chatbot, especially chat GPT and capable of creating text and prose close to being indistinguishable from that created by humans. Similarly, we also have Fliki, Super Creator for making video, or Midjourney, Rocket AI for creating images. It's anticable that its usage will be beyond the scale of individuals or small enterprises to the bigger businesses with a wider range of tasks. In 2023, we can see it used increasingly frequently to create synthetic data that can be used by businesses for all manner of purposes. Using synthetic audio and video data can eliminate the need to film and record speech on video. Workers can simply type what they want the audience to see and hear into your generative tools, and the AI will create it accordingly. Accordingly, here is some generative AI trends worth noticing: Multi-Modal Models Trend If you are working with only one source of information, it is easier to train the AI. However, the results may lack context or supporting information, leading to skewed outcomes. In multimodal AI, two or more streams of information can be processed together. Then, it allows the software to have a better understanding of what it is analyzing. This generative AI trend will help the interaction with AI like humans with full sense. Most generative AI tools, algorithms, and language models (LLMs) specialize in simulating one form of expression, such as language, visuals, or sounds. However, there is a growing trend towards "multi-modal" generative AI. The upcoming version of OpenAI's ChatGPT is an example. It will have the ability to understand and interpret images, as well as respond to voice commands. Meta has also demonstrated a model that can combine images, text, audio, depth, and motion data. This approach is expected to become more common in the coming year. Additionally, it will soon be normal to have conversations with AI about pictures or videos. This is similar to how we interact with text today. > Related: Generative AI:…

Sale is basically activities of email and conversation which are creative and manual. Sales is not only finding customers and talking about the products with hoping they will buy them. Researching customer behavior, and customizing content to be suitable for particular customers takes a lot of time. That is why sales are well-suited to the capabilities of generative AI models. Selling is interaction and transaction-intensive, producing large volumes of data, including text from email chains, audio of phone conversations, and video of personal interactions. These are exactly the types of unstructured data the models are designed to work with. The creative and organic nature of selling creates immense opportunities for generative AI to interpret, learn, link, and customize. Generative AI sometimes draws wrong, biased, or inconsistent conclusions. Although the publicly accessible models are valuable (hundreds of millions of users like us have already used ChatGPT to query the knowledge base on practically every topic), the true power for sales teams comes when models are customized and fine-tuned on company-specific data and contexts. This can be expensive and requires scarce expertise, including people with significant knowledge of AI and sales. So how can sales organizations harvest the value without wasting energy on heading down unproductive pathways? Before we get into how consider What Generative AI will assist sales optimizing performance. Remove Administrative Duties The fact, the more customers you have the more administrative tasks you have to do. If the amount of customers is around 10-100 people, you find it easy to remember every piece of information like the email address, hobbies, behavior, and content of your conversation with them. If there are hundreds of customers you have to care about, it’s impossible to handle the giant information in a manual way. AI can automatically log customers’ email, company, and associated conversations, write emails, respond to proposal requests, and organize notes. Supporting Customers is A Piece of Cake Communicating with customers is much easier than before due to the auto chatbot. But for B2B businesses that mostly communicate with customers through email, the application of AI to email is very limited. Because most current email tools only get customers’ general information. By layering on generative AI, the models can produce better recommendations. One example would be considering customer sentiments gleaned from the nuances of language and subtle signals of customer interest or distrust — in emails, conversations with salespeople, posts on social media sites, and more. Further, the salesperson can collaborate with the system to improve recommendations in real time. For example, after receiving a suggestion to approach a customer with a new offering, the salesperson can dig deeper — both vertically into the customer’s own needs and horizontally to find other customers who might benefit from the same offering. An interactive, conversational user interface makes the application easy to use. In a truly collaborative seller-buyer environment, even the buyer can be part of the dialog. Assisting Learning and Reading Business Reports According to the investigation, learning and reading business reports and…

The global economic outlook for 2023 is among the weakest in decades, with global real GDP growth forecast to increase by 2.3% in 2023, further down from 3.3% recorded in 2022. Though global inflation is expected to moderate from 9.1% in 2022 to 6.8% in 2023, it is still at historic highs. The high costs of living, rising interest rates, and ongoing geopolitical uncertainties will continue to dent private consumption and investment in many parts of the world, undermining the global growth outlook. Customers will hesitate to spend money on expensive things due to rising inflation.  The problem for businesses is How to create an environment that encourages customers to buy? The answer is to build a Customer Experience Ecosystem. Create a Customer Experience Ecosystem as the solution. Developing a Customer Experience Ecosystem will be easier than ever thanks to the advancement of generative AI. But what exactly is a customer experience ecosystem, and how can you create one? Let’s find out through this article. What is a Customer Experience Ecosystem? Ecosystem = living and non-living things that make up an environment and affect each other. Customer Experience Ecosystem aka Business Ecosystem includes customers, staff members, distributors, partners, agencies, competitors, rituals (planning, funding, evaluating, rewarding, reporting, communicating, advancing, and training), and the logistics and interactions between all of these stakeholders and rituals. Like a rainforest ecosystem, you must think holistically about the interdependencies of all elements. Think about the food chain, what informs what, who influences whom, who needs whom, what makes things tick, and what gets in the way of success. Therefore, creating an ecosystem for the consumer experience requires an awareness of how ecosystem components interact. Many firms have used customer interactions to collect data, evaluate that data, and then modify their marketing initiatives and business plans to cater to different client segments. They have a better understanding of clients and a better strategy for dealing with them, which makes them stand out from rivals in every way. How can We Build a Customer Experience Ecosystem? Building an Intelligent Experience Engine New digital media create new ways for users to interact with brands. Location-based tracking and payment systems activated by the swipe of a hand blur the lines across prepurchase (advertising/marketing), purchase (sales/transaction), and postpurchase (service/loyalty) interactions. These capabilities have created intelligent ways to reshape customer experiences, and they enable brands to be distinctively valuable and deepen engagement. Starbucks, for example, geo-targets lapsed customers who are near its stores with ads about new seasonal beverages, and it sends customers personalized in-app offers to encourage them to visit a store or to try their convenient mobile order-and-pay option. Building an Intelligent Experience Engine means building an end-to-end experience but focusing on each micro goal on the journey. Think about how to design the flow of a given moment. Because each positive individual moment creates an overall customer experience. At each moment what information should be provided to the customer? Suggestions for customers to use the cross-channel or cross-party which will be most convenient? Connect…