By Shrikant Navelkar, Director, Clover Infotech  In today’s digital era, data holds immense significance. Database management traditionally was considered the domain of IT department alone, now it is emerging as a crucial element for business strategies. As we stand on the precipice of a new era defined by exponential data growth, let’s look at how new-age technologies such as cloud, blockchain, and AI are fundamentally reshaping the future of database management.   Here’s how these technologies are transforming database management and making them more beneficial to meet the ever-growing demands of a competitive business landscape.   Making database management more scalable and flexible – Cloud computing platforms provide unprecedented scalability and flexibility for database management. Enterprises can easily ramp up and scale down resources based on demand, avoiding the limitations of traditional on-premises infrastructure. This scalability enables businesses to cost-effectively manage growing volumes of data. Enhancing security and reliability of databases – Blockchain technology introduces decentralized and immutable ledgers, enhancing data security and integrity. By distributing data across a network of nodes, blockchain reduces the risk of single points of failure and unauthorized tampering. This decentralized approach ensures data transparency and trust, making it ideal for applications requiring secure and auditable transactions. Streamlining database for effective decision-making – Through advanced algorithms, AI revolutionizes database management by optimizing data storage, retrieval and analysis. AI-powered predictive analytics and anomaly detection algorithms can identify patterns and trends in large datasets, enabling businesses to anticipate future outcomes and make informed decisions swiftly. Further, it automates routine tasks such as data cleansing and indexing, reducing manual effort and allowing database administrators to focus on higher-value activities. Hence, AI-driven database management empowers organizations to leverage their data assets more effectively, facilitating quicker decision-making processes that drive competitive advantage. Enhancing the experience of database users – Technologies such as Natural language processing (NLP) enable users to interact with databases using conversational commands, thereby simplifying complex queries and speeding up data retrieval. Such intuitive interfaces and personalized interactions enhance the user experience. Additionally, cloud-based solutions provide seamless access to databases from any device or location, enhancing collaboration and productivity.

The Future Ahead: Challenges and Opportunities

Despite the transformative potential of these emerging trends, the future of database management is not without challenges. Concerns around data privacy, security, and regulatory compliance continue to loom large, necessitating robust governance frameworks and encryption standards. However, amidst these challenges lie immense opportunities for innovation and growth. The convergence of diverse technologies, from blockchain and AI to quantum computing, promises to usher in a new era of data management, characterized by agility, intelligence, and security. Organizations that embrace these advancements stand to gain a competitive edge in an increasingly data-driven world, unlocking new possibilities for innovation and value creation.  Disclaimer: The views and opinions expressed in this guest post are solely those of the author(s) and do not necessarily reflect the official policy or position of The Cyber Express. Any content provided by the author is of their opinion and is not intended to malign any religion, ethnic group, club, organization, company, individual, or anyone or anything. 

  

 The marketing industry is turning to artificial intelligence (AI) as a way to save time and execute smarter, more personalized campaigns. 61% of marketers say AI software is the most important aspect of their data strategy.

  If you’re late to the AI party, don’t worry. It’s easier than you think to start leveraging artificial intelligence tools in your marketing strategy. Here are 11 AI marketing tools every marketer should start using today.

1. Jasper Ai(Formerly known as Jarvis)

2. Personalize

 Personalize is an AI-powered technology that helps you identify and produce highly targeted sales and marketing campaigns by tracking the products and services your contacts are most interested in at any given time. The platform uses an algorithm to identify each contact’s top three interests, which are updated in real-time based on recent site activity.

Key Features

• Identifies  top three interests based on metrics like time on page, recency, and frequency of each contact
• Works with every ESP and CRM
• Easy to get up and running in days
• Enterprise-grade technology at a low cost for SMBs

3. Seventh Sense

  Seventh Sense provides behavioral analytics that helps you win attention in your customers’ overcrowded email inboxes. Choosing the best day and time to send an email is always a gamble. And while some days of the week generally get higher open rates than others, you’ll never be able to nail down a time that’s best for every customer. Seventh Sense eases your stress of having to figure out the perfect send-time and day for your email campaigns. The AI-based platform figures out the best timing and email frequency for each contact based on when they’re opening emails. The tool is primarily geared toward HubSpot and Marketo customers 

Key Features 

4. Phrasee

  Phrasee uses artificial intelligence to help you write more effective subject lines. With its AI-based Natural Language Generation system, Phrasee uses data-driven insights to generate millions of natural-sounding copy variants that match your brand voice. The model is end-to-end, meaning when you feed the results back to Phrasee, the prediction model rebuilds so it can continuously learn from your audience.

Key Features 

• Instantly generates millions of human-sounding, brand-compliant copy variants
• Creates tailored language models for every customer
• Learns what your audience responds to and rebuilds the prediction model every time

5. Hubspot Seo

  HubSpot Search Engine Optimization (SEO) is an integral tool for the Human Content team. It uses machine learning to determine how search engines understand and categorize your content. HubSpot SEO helps you improve your search engine rankings and outrank your competitors. Search engines reward websites that organize their content around core subjects, or topic clusters. HubSpot SEO helps you discover and rank for the topics that matter to your business and customers.

Key Features 

• Helps you discover and rank topics that people are searching for
• Provides suggestions for your topic clusters and related subjects
• Integrates with all other HubSpot content tools to help you create a well-rounded content strategy

 6. Evolve AI

  When you’re limited to testing two variables against each other at a time, it can take months to get the results you’re looking for. Evolv AI lets you test all your ideas at once. It uses advanced algorithms to identify the top-performing concepts, combine them with each other, and repeat the process to achieve the best site experience.

Key Features 

• Figures out which content provides the best performance
• Lets you test multiple ideas in a single experiment instead of having to perform many individual tests over a long period
• Lets you try all your ideas across multiple pages for full-funnel optimization
• Offers visual and code editors

7. Acrolinx

  Acrolinx is a content alignment platform that helps brands scale and improves the quality of their content. It’s geared toward enterprises – its major customers include big brands like Google, Adobe, and Amazon - to help them scale their writing efforts. Instead of spending time chasing down and fixing typos in multiple places throughout an article or blog post, you can use Acrolinx to do it all right there in one place. You start by setting your preferences for style, grammar, tone of voice, and company-specific word usage. Then, Acrolinx checks and scores your existing content to find what’s working and suggest areas for improvement. The platform provides real-time guidance and suggestions to make writing better and strengthen weak pages.

Key features

• Reviews and scores existing content to ensure it meets your brand guidelines
• Finds opportunities to improve your content and use automation to shorten your editorial process.
• Integrates with more than 50 tools and platforms, including Google Docs, Microsoft Word, WordPress, and most web browsers.

8. MarketMuse 

MarketMuse uses an algorithm to help marketers build content strategies. The tool shows you where to target keywords to rank in specific topic categories, and recommends keywords you should go after if you want to own particular topics. It also identifies gaps and opportunities for new content and prioritizes them by their probable impact on your rankings. The algorithm compares your content with thousands of articles related to the same topic to uncover what’s missing from your site.

Key features:

• The built-in editor shows how in-depth your topic is covered and what needs improvement
• Finds gaps and opportunities for new content creation, prioritized by their probable impact and your chance of ranking

9. Copilot

Copilot is a suite of tools that help eCommerce businesses maintain real-time communication with customers around the clock at every stage of the funnel. Promote products, recover shopping carts and send updates or reminders directly through Messenger.

Key features: 

• Integrate Facebook Messenger directly with your website, including chat history and recent interactions for a fluid customer service experience 
• Run drip messenger campaigns to keep customers engaged with your brand
• Send abandoned carts, out-of-stock, restock, preorder, order status, and shipment notifications to contacts 
• Send branded images, promotional content, or coupon codes to those who opt in
• Collect post-purchase feedback, reviews, and customer insight
• Demonstrate social proof on your website with a widget, or push automatic Facebook posts sharing recent purchases
• Display a promotional banner on your website to capture contacts instantly

10. Yotpo

Yotpo’s deep learning technology evaluates your customers’ product reviews to help you make better business decisions. It identifies key topics that customers mention related to your products—and their feelings toward them. The AI engine extracts relevant reviews from past buyers and presents them in smart displays to convert new shoppers. Yotpo also saves you time moderating reviews. The AI-powered moderation tool automatically assigns a score to each review and flags reviews with negative sentiment so you can focus on quality control instead of manually reviewing every post.

Key features:

• Makes it easy for shoppers to filter reviews and find the exact information they’re looking for
• Analyzes customer feedback and sentiments to help you improve your products
• Integrates with most leading eCommerce platforms, including BigCommerce, Magento, and Shopify.

11. Albert AI

  Albert is a self-learning software that automates the creation of marketing campaigns for your brand. It analyzes vast amounts of data to run optimized campaigns autonomously, allowing you to feed in your own creative content and target markets, and then use data from its database to determine key characteristics of a serious buyer. Albert identifies potential customers that match those traits, and runs trial campaigns on a small group of customers—with results refined by Albert himself—before launching it on a larger scale.

  Albert plugs into your existing marketing technology stack, so you still have access to your accounts, ads, search, social media, and more. Albert maps tracking and attribution to your source of truth so you can determine which channels are driving your business.

Key features:

• Breaks down large amounts of data to help you customize campaigns
• Plugs into your marketing technology stack and can be used across diverse media outlets, including email, content, paid media, and mobile

Final Saying

There are many tools and companies out there that offer AI tools, but this is a small list of resources that we have found to be helpful. If you have any other suggestions, feel free to share them in the comments below this article. As marketing evolves at such a rapid pace, new marketing strategies will be invented that we haven't even dreamed of yet. But for now, this list should give you a good starting point on your way to implementing AI into your marketing mix.

Note: This article contains affiliate links, meaning we make a small commission if you buy any premium plan from our link.

If you want to pay online, you need to register an account and provide credit card information. If you don't have a credit card, you can pay with bank transfer. With the rise of cryptocurrencies, these methods may become old.

Imagine a world in which you can do transactions and many other things without having to give your personal information. A world in which you don’t need to rely on banks or governments anymore. Sounds amazing, right? That’s exactly what blockchain technology allows us to do.

It’s like your computer’s hard drive. blockchain is a technology that lets you store data in digital blocks, which are connected together like links in a chain. 

Blockchain technology was originally invented in 1991 by two mathematicians, Stuart Haber and W. Scot Stornetta. They first proposed the system to ensure that timestamps could not be tampered with.

A few years later, in 1998, software developer Nick Szabo proposed using a similar kind of technology to secure a digital payments system he called “Bit Gold.” However, this innovation was not adopted until Satoshi Nakamoto claimed to have invented the first Blockchain and Bitcoin.

So, What is Blockchain?

A blockchain is a distributed database shared between the nodes of a computer network. It saves information in digital format. Many people first heard of blockchain technology when they started to look up information about bitcoin.

Blockchain is used in cryptocurrency systems to ensure secure, decentralized records of transactions.

Blockchain allowed people to guarantee the fidelity and security of a record of data without the need for a third party to ensure accuracy.

To understand how a blockchain works, Consider these basic steps:

• Blockchain collects information in “blocks”.
• A block has a storage capacity, and once it's used up, it can be closed and linked to a previously served block.
• Blocks form chains, which are called “Blockchains.”
• More information will be added to the block with the most content until its capacity is full. The process repeats itself.
• Each block in the chain has an exact timestamp and can't be changed.

Let’s get to know more about the blockchain.

How does blockchain work?

Blockchain records digital information and distributes it across the network without changing it. The information is distributed among many users and stored in an immutable, permanent ledger that can't be changed or destroyed. That's why blockchain is also called "Distributed Ledger Technology" or DLT.

Here’s how it works:

• Someone or a computer will transacts
• The transaction is transmitted throughout the network.
• A network of computers can confirm the transaction.
• When it is confirmed a transaction is added to a block
• The blocks are linked together to create a history.

And that’s the beauty of it! The process may seem complicated, but it’s done in minutes with modern technology. And because technology is advancing rapidly, I expect things to move even more quickly than ever.

• A new transaction is added to the system. It is then relayed to a network of computers located around the world. The computers then solve equations to ensure the authenticity of the transaction.
• Once a transaction is confirmed, it is placed in a block after the confirmation. All of the blocks are chained together to create a permanent history of every transaction.

How are Blockchains used?

Even though blockchain is integral to cryptocurrency, it has other applications. For example, blockchain can be used for storing reliable data about transactions. Many people confuse blockchain with cryptocurrencies like bitcoin and ethereum.

Blockchain already being adopted by some big-name companies, such as Walmart, AIG, Siemens, Pfizer, and Unilever. For example, IBM's Food Trust uses blockchain to track food's journey before reaching its final destination.

Although some of you may consider this practice excessive, food suppliers and manufacturers adhere to the policy of tracing their products because bacteria such as E. coli and Salmonella have been found in packaged foods. In addition, there have been isolated cases where dangerous allergens such as peanuts have accidentally been introduced into certain products.

Tracing and identifying the sources of an outbreak is a challenging task that can take months or years. Thanks to the Blockchain, however, companies now know exactly where their food has been—so they can trace its location and prevent future outbreaks.

Blockchain technology allows systems to react much faster in the event of a hazard. It also has many other uses in the modern world.

What is Blockchain Decentralization?

Blockchain technology is safe, even if it’s public. People can access the technology using an internet connection.

Have you ever been in a situation where you had all your data stored at one place and that one secure place got compromised? Wouldn't it be great if there was a way to prevent your data from leaking out even when the security of your storage systems is compromised?

Blockchain technology provides a way of avoiding this situation by using multiple computers at different locations to store information about transactions. If one computer experiences problems with a transaction, it will not affect the other nodes.

Instead, other nodes will use the correct information to cross-reference your incorrect node. This is called “Decentralization,” meaning all the information is stored in multiple places.

Blockchain guarantees your data's authenticity—not just its accuracy, but also its irreversibility. It can also be used to store data that are difficult to register, like legal contracts, state identifications, or a company's product inventory.

Pros and Cons of Blockchain

Blockchain has many advantages and disadvantages. 

Pros

• Accuracy is increased because there is no human involvement in the verification process.
• One of the great things about decentralization is that it makes information harder to tamper with.
• Safe, private, and easy transactions
• Provides a banking alternative and safe storage of personal information

Cons

• Data storage has limits.
• The regulations are always changing, as they differ from place to place.
• It has a risk of being used for illicit activities 

Frequently Asked Questions About Blockchain

I’ll answer the most frequently asked questions about blockchain in this section.

Is Blockchain a cryptocurrency?

Blockchain is not a cryptocurrency but a technology that makes cryptocurrencies possible. It's a digital ledger that records every transaction seamlessly.

Is it possible for Blockchain to be hacked?

Yes, blockchain can be theoretically hacked, but it is a complicated task to be achieved. A network of users constantly reviews it, which makes hacking the blockchain difficult.

What is the most prominent blockchain company?

Coinbase Global is currently the biggest blockchain company in the world. The company runs a commendable infrastructure, services, and technology for the digital currency economy.

Who owns Blockchain?

Blockchain is a decentralized technology. It’s a chain of distributed ledgers connected with nodes. Each node can be any electronic device. Thus, one owns blockhain.

What is the difference between Bitcoin and Blockchain technology?

Bitcoin is a cryptocurrency, which is powered by Blockchain technology while Blockchain is a distributed ledger of cryptocurrency 

What is the difference between Blockchain and a Database?

Generally a database is a collection of data which can be stored and organized using a database management system. The people who have access to the database can view or edit the information stored there. The client-server network architecture is used to implement databases. whereas a blockchain is a growing list of records, called blocks, stored in a distributed system. Each block contains a cryptographic hash of the previous block, timestamp and transaction information. Modification of data is not allowed due to the design of the blockchain. The technology allows decentralized control and eliminates risks of data modification by other parties.

Final Saying

Blockchain has a wide spectrum of applications and, over the next 5-10 years, we will likely see it being integrated into all sorts of industries. From finance to healthcare, blockchain could revolutionize the way we store and share data. Although there is some hesitation to adopt blockchain systems right now, that won't be the case in 2022-2023 (and even less so in 2026). Once people become more comfortable with the technology and understand how it can work for them, owners, CEOs and entrepreneurs alike will be quick to leverage blockchain technology for their own gain. Hope you like this article if you have any question let me know in the comments section

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