IT / ITeS / SMEs
AI Business Strategy for IT / ITeS / SMEs
While large-scale enterprises have long begun using new technologies like machine learning and artificial intelligence (AI) to streamline their business processes, IT / ITeS / SMEs are still trying to understand if the AI technology holds any solution for them. The Artificial Intelligence and Business Strategy initiative explores the growing use of artificial intelligence in the business landscape.
Artificial intelligence in business management
- Spam filters
- Smart email categorisation
- Voice to text features
- Smart personal assistants, such as Siri, Alexa, Cortana and Google Now
- Automated responders and online customer support
- Process automation
- Sales and business forecasting
- Security surveillance
- Smart devices that adjust according to behaviour
- Automated insights, especially for data-driven industries
- Smart searches and relevance features
- Personalisation as a service
- Product recommendations and purchase predictions
- Fraud detection and prevention for online transactions
- Dynamic price optimisation
Artificial intelligence in marketing
- Recommendations and content curation
- Personalisation of news feeds
- Pattern and image recognition
- Language recognition - to digest unstructured data from customers and sales prospects
- Ad targeting and optimised, real-time bidding
- Customer segmentation
- Social semantics and sentiment analysis
- Automated web design
- Predictive customer service
AI applications for IT / ITeS / SMEs
AI Enhance Marketing
The most significant one among the benefits of artificial intelligence is a marketing automation system that may execute machine learning to enhance customer targeting, construct communications that are more precise and build conclusions as per their behaviors. The AI-based marketing stimulates marketing efficiency by driving the efforts, particularly towards the right client. Therefore, AI marketing evolved as a kind of direct marketing that powers the database marketing techniques with the Al-based models and concepts.
AI Supports Salespeople
Most of the high-growth enterprises involve an inside sales department to generate revenue. AI technologies can coach the sales people to sell better. AI tools record and transcribe the calls the sales reps have. Then they can compare the strategies used by the sales reps to find out the most successful practices. With the machine learning, the sales platform can analyze various variables such as word choice or the ration of time spent on listening versus talking. The AI software supports evaluate performance and train salespeople to converse more like the successful sellers.
AI Provides Better Customer Engagement
Automated chat platform permits the SMEs to scale their customer engagement and experience and free up the resources needed for more critical customer interactions. It drives greater customer engagement, thereby increases the chance to achieve more revenue and increases retention. AI software supports businesses to understand customer needs, determine purchasing patterns and increase the range of services to offer relevant rewards and offers.
In addition to responding to specific customer queries using a database of perceptions, artificial intelligence can also organize the customer inquiries. This tactic can minimize waste times for customers who look for a prompt response to basic queries.
AI Supports Competitive Intelligence
When the competitors produce an abundant amount of contents and updates each day, it could be difficult to track their strategies. However, knowing the competitors well is vital to react to the ever-changing market trends and remain competitive. There are AI-powered competitive analysis tools that support businesses address this challenge. This software can track the business competitors on various channels like social media, websites and web applications to determine price updates and subtle changes in messaging as well as PR activities. When combined with powerful business metrics and natural language processing, this feature can offer SMEs a better insight into the ongoing evolution in their competitors’ strategy. Furthermore, these tools also possess powerful analytical ability that support for instant detection of product gaps, strength and weakness of the competitors. With these insights, the business owners can modify their own business strategy.
AI Strengthens Cybersecurity
Over the past decades, businesses regardless of size have come across several cyber exploits that affect both the operation and reputation of the companies. That is why both large and small enterprises are using AI tools to protect their data and battle threats to ensure their data security. With AI and machine learning, companies can detect any strange behaviors, create a concentration on new threats and spot the security vulnerabilities. Just keep in mind that small enterprises are more vulnerable to cybersecurity attacks than large ones because most of them don’t have adequate security checks in place.
AI Embeds With CRM
CRM (Customer Relationship Management) platform embedded with AI can take the customer relationship and integration to the next level. This approach seamlessly provides valuable insights, which can handle interactions with existing and prospect customers as well as automate marketing & lead generation. AI integrated with CRM can do a real-time analysis to offer recommendation and predictions based on the business processes and customer data of the company. For instance, it can evaluate customer sentiments in social media posts, recorded conversion, customer reviews, and emails. Furthermore, it can also adjust the lead generation and marketing activities based on the result of data analysis.
AI Voicebots & Chatbots
When it comes to the benefits of artificial intelligence, chatbots are the first thing that comes to our mind. Bots are now used by numerous businesses to communicate with customers and make enterprises available 24/7. Bots provide valuable details and ensure that the customer is engaged. AI technologies include an option to design and deploy the voicebots & chatbots. The conversational artificial intelligence can be developed for return policies, conversational commerce, company information and more. The AI voicebots & chatbots create a feeling for a customer that they are interacting with a human support, not a machine. SMEs can employ AI chatbots to enhance delivering business details on their official sites, social media and via mobile apps.
SMEs that are keen on leveraging artificial intelligence early will be powerful enough to attain the benefits of a range of operational competencies and achieve a competitive edge. Implementing AI will be vital for SMEs, but business owners will require being future targeted and ready to touch the next edge with the latest technology.
Designing a branded website with AI
With AI to develop the website products which has a nice logo-constructing tool which helps users craft their own brand, on the cheap and in a jiffy. It is a brilliant value, especially considering no design skills are required. Artificial intelligence will do everything by itself, sticking to the user preferences. AI empowers the website creator to design the projects. It processes input data collected from answers. Then Artificial Design Intelligence presents every client a personalized website. The final websites are fully customisable — new owners can add or change anything they like. All this eventually saves time, money, and pains. No more long doing or spending on layout designers and HTML/CSS coders.
Improving Sales and Marketing Efforts
AI tools for enterprises are certainly useful for extracting sales-related insights from customer data. For instance, the AI-enabled customer relationship management (or CRM) tools are enabling small business owners in analyzing their customer feedback and accordingly adapt their sales lead generation activities.
Automate Customer Service and Communications
Through the use of automated voicebots & chatbots or digital assistants that work 24×7 around the clock, small businesses are elevating their customer service and communication without hiring and training a dedicated customer support team. For example, the AI-powered Answer Bot from Intercom is resolving nearly 30% of the customer queries received by the company.
Improving Recruitment and HR activities
Among the prominent benefits of AI for small business, AI technology is streamlining the entire employee hiring process along with improving the HR function through employee feedback. For instance, an AI-enabled applicant tracking tool is reducing the hiring time and cost for small businesses in filtering though job applications by candidates and selecting the one that is best suited for the job.
Accelerated Administrative Tasks
Many businesses are increasingly turning to AI to cut out various repetitive tasks such as paperwork, timesheets, and scheduling. For instance, virtual assistants can help small businesses to sift through thousands of emails and make several tasks much easier.
Increased Employee Productivity
Many organizations these days are providing their employees with wearable technology to track their sleep and exercise habits. This helps in encouraging a healthy lifestyle, thereby contributing to a more productive workforce.
Competitive Intelligence
Earlier it was difficult for businesses to track the strategies of their competitors. However, with the help of AI-powered competitive analysis tools businesses can now easily determine their competitor’s price updates and subtle changes in messaging as well as PR activities by tracking them on various channels including social media, websites and web applications. AI-powered competitive analysis tools together with influential business metrics and natural language processing can offer SMEs an improved insight into the ongoing evolution in their competitors’ strategy, thereby allowing businesses to modify their own business strategy.
AI Applications in IT / ITeS / SMEs
Quality Assurance
Each time a development team introduces a new code, it has to test it before letting this code enter the market. Regression testing cycles take a lot of effort and time if it is manually done by QA experts. With the ability of AI to determine repetitive patterns, this process can be run easier and faster. Using AI for data analysis allows QA departments to eliminate human errors, reduce running test time, and easily identify possible defects. As a result, a QA team is not overloaded with large amounts of data to handle.
Process Automation
Process automation is defined as the use of software and technologies to automate business processes and functions in order to accomplish defined organisational goals for a specific product.
Service Management
Service Management as the combination of organisational tasks and activities designed to provide users and customers with a high-value service. To guarantee the value and quality of your company's services, you must adopt a truly strategic and effective approach.
Application Testing
An AI-based system builds test suites by processing behavioral patterns according to location, device, and demographics. This allows QA departments to facilitate testing processes and enhance the effectiveness of an application.
Social Media Analysis
AI systems are able to process and analyze huge amounts of data gained from social media. Based on these data, the system can predict market trends and customer behavior, therefore providing a company with a competitive advantage.
Data Management for AI
Unlock your data from edge, to core, to multicloud, to drive your analytics, AI, and GenAI workloads. Simplify locating, accessing, and processing data across environments. Enable quicker access to data to speed model tuning and business outcomes. Leverage a turnkey experience that simplifies purchase, deployment, and lifecycle management.
Efficiency Analysis
By analyzing and summarizing relevant information from a large range of sources, an AI system provides QAs with valuable information, giving QA engineers a complete view of the alterations that they must carry out. Using this information, QAs can make more informative decisions.
Data Engineering
Enterprises across the globe have always generated a huge amount of data. Our team of experienced Data Engineers help create high-performance infrastructure and data analytics which optimize your data and help you make better business decisions.
Network Firewalls for Enterprises
Enterprise cybersecurity is essential for protecting businesses from cyber threats and ensuring the confidentiality, integrity, and availability of sensitive data. With the increasing reliance on technology and the constantly evolving landscape of cyber threats, it’s important for organizations to stay up to date on best practices for securing their networks and data.
Some of the Best Cybersecurity Features
Define assets and environment
Make sure to have a solid understanding of your organization’s assets, such as servers, workstations, and cloud services. Create an inventory of these assets to ensure good cyber hygiene and the ability to act quickly in the event of an incident.
Implement early detection systems
This is a critical tool when responding to a breach because it helps to alert administrators quickly, while also preventing further losses.
Utilize an end-to-end data protection software
An end-to-end data protection software helps provide comprehensive security for all of an organization’s data, from the moment it is created to the moment it is accessed or deleted. This practice also ensures that data is correctly handled and transferred throughout its journey.
Implement a Zero-Trust framework
By implementing a Zero-Trust framework, you can secure an organization by continuously validating and authenticating all users inside or outside the network.
Ensure data encryption
Data encryption is the process of encoding information, which can then only be accessed or decrypted by authorized users. Implementing data encryption is especially important for organizations that handle sensitive information, such as financial data, personal information, and intellectual property. By ensuring that all data is encrypted, businesses can reduce the risk of a data breach and protect against the potential consequences.
Continuously monitor vendor security
With the increasing reliance on technology and the growing use of third-party vendors, it’s important for businesses to understand the security practices of their vendors and ensure that they align with their own standards. By continuously monitoring vendor security, businesses can identify any potential vulnerabilities or risks and take steps to address them. This can include conducting regular security assessments, reviewing vendor contracts and policies, and requiring vendors to meet certain security standards.
Configuration management
Configuration management helps organizations maintain control over their IT systems and ensure that they are configured correctly and consistently, by keeping track of changes made to system configurations, as well as monitoring and enforcing compliance with security policies and standards. It is also important to identify misconfigurations in a system’s default settings to increase security and reduce risk.
Verify regulatory compliance
Establish controls that protect the confidentiality and integrity of information, including how that information is stored and transferred. By maintaining and verifying regulatory compliance, businesses can protect themselves from legal liabilities and fines, as well as stay up to date on the latest regulatory requirements.