As small and medium-sized businesses (SMBs) grow, they sometimes struggle to manage operations with their current tools. Enterprise resource planning (ERP) is the solution, since it integrates all company operations for easy viewing and management. To scale modern SMBs and aid their digital transformation, ERPs are a valuable investment.
How you attract, assess, and hire talent is changing more rapidly than ever. The new 2026 has already begun and talent acquisition has come a far way from manual screening. A mishmash of tools or reactive hiring decisions isn’t gonna cover it. Instead, the organizations that win will be the ones that have integrated AI into the DNA of how talent acquisition operates, not as an experiment, but on fundamental levels.
If you play a role in hiring outcomes, talent acquisition strategy, or employer branding, the pressure is already on. And, if you are still depending on traditional recruitment workflows in this environment, then you are already at a disadvantage.
Recruiters face hundreds of resumes each week, and going through them manually is time-consuming and error-prone. Resume parsing in recruitment helps by converting unstructured resumes into structured, searchable data, making it faster to spot top talent.
Resume parsing for recruiters organizes skills, experience, and education in a clear, consistent format, reducing mistakes and improving efficiency.
Slow hiring has costs, SHRM reports the average time-to-hire in the U.S. is 36 days, leading to lost productivity and delayed projects.
Every business owner I talk to right now says the same thing about AI:
“Yeah, we’ve played with ChatGPT… but we haven’t actually implemented anything.”
Meanwhile, their competitors quietly roll out AI workflows that answer customers faster, follow up on more leads, and take grunt work off their team’s plate.
The gap isn’t access to AI. The gap is AI implementation. And AI implementation isn’t “we bought a tool” or “we asked ChatGPT to write an email once.” It’s when AI is wired into a real business process, runs reliably, and moves a metric you care about.
Gone are the days when recruiting was done through newspaper ads and cold calls. Nowadays, algorithms are the tool through which jobseekers are most likely to find their next employer. However, the most clever companies still realize that technology by itself does not do the selling of the job - it depends on how you use it.
The people who get the best hire results are the ones who skillfully balance between AI in job ads and the human touch.
The businesses that implement automation while still maintaining the personal tone of their job ads have a lot to teach us about not losing the human touch in writing job ads.
Recruitment bias can insidiously skew decisions, exclude the best candidates and undermine your company’s reputation. When A.I. comes into play in hiring, the aim should be about the antithesis, greater fairness, more inclusion and better data-driven decisions. However, AI models can inadvertently learn the same biases as those present in human decision making or biased datasets.
Inventory management has become a make-or-buy decision in the world of small online stores as well as in the world of international supply chains. The old systems that previously made use of manual tracking and simple reporting can no longer be able to support the complexities of the modern functions.
Combine the best of data analysis and software development two fields that are changing the way companies handle inventory, demand and supply chain optimization. They combine to produce a new generation of smart and versatile inventory systems that can learn, forecast and evolve ever-better.
Identity theft, fraud and money laundering are increasing risks to businesses and other financial institutions in the modern digital economy where they change rapidly. In order to protect themselves and adhere to the regulations, companies employ the practice of checking a customer, commonly referred to as KYC verification, or Know Your Customer. KYC verification is an indispensable part of the global financial ecosystem, which is aimed at determining the identity of the customer and providing access to financial products or services.
Picture this: you want to open a bank account, or use a crypto exchange, or start trading stocks. You’re asked to verify your identity, submit documents, wait days. Frustrating, right? That old way of kyc verification is changing fast. Thanks to advances in artificial intelligence and blockchain (plus a dose of big data), identity checks are getting safer, faster, and more respectful of privacy.
In this article we’ll explore how blockchain and AI are working together to reshape KYC, share real data and case studies, and see what it might mean for you or your business.
Growing a business is rewarding, but it often feels complicated. Even the most accomplished teams can be overcome by sales, financial, and operational management. Technology's role starts here. Microsoft Dynamics provides a set of solutions that simplify corporate procedures and increase productivity. However, the reality is that just software is insufficient. Success depends on the support it receives as well as on its execution. The perfect mate turns complexity into understanding. Solutions customised to your needs help you with planning, setup, and training. You concentrate on development instead of battling with systems.
