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Coronavirus: IT Companies Counter the Pandemic with Remote Development

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The World Health Organization (WHO) has declared the outbreak of the coronavirus a pandemic. Despite a positive trend in fighting the viral threat in China, it has now spread throughout the whole world. Stock markets and world economies react to infectious cases reported in different countries.

Quarantine or home office?

Today, the virus is spreading all over the world. In mid-March 2020, the number of confirmed cases of the novel coronavirus reached over 150,000. Numerous economic problems affecting all spheres of business have been revealed amid the global threat. These problems are directly related to the distribution of human resources. An effective way to combat the virus is to minimize the possibility of its extension. This means isolating people, cancelling mass events, closing cinemas and factories, and recommending against public transport and communal office work. Creating conditions for remote work is the only right decision for the commercial sector in this situation to overcome the crisis caused by such pandemic.     

Artezio CEO Pavel Adylin believes that transition to remote work is a modern trend, and not just a response to COVID-19. He believes it could make people consider a new model of work.    

“IT companies nearly always use practices of remote software development. Due to high competition in the labor market, it became a difficult struggle for qualified employees in a particular city or country to find work in their area. The industry now, for the most part, employs people remotely, regardless of their location. It erases a competition problem and at the same time speeds up building a team because it is easier to search for specialists in several cities or countries simultaneously, rather than in one place,” says Pavel Adylin.

Anna Znamenskaya, Chief Growth Officer at Rakuten Viber notes that over the years it has been discussed that a lot of companies are gradually refusing traditional office work.

“And it has nothing to do with situational reasons. Remote working has its benefits: employers can save on renting office space, providing employees with lunches, etc. At the same time, employees don’t waste their time on the daily commute or breaks with co-workers. The world IT giants like Apple and Google realized it long ago, and we should note that both these corporations are doing quite well. So why can’t others work in the same way? The most important thing is to identify employees who are able to perform their professional duties away from leadership. This is the task of the HR Department and a question of time – if an employee is able to prove they are an efficient worker regardless of environment. If this is found to be true, there is almost no difference from working in an office,” she says.

Artezio HR Director Iryna Dyachenko believes that IT companies have been implementing remote working practices for quite a long time. The coronavirus has just made the convenience of this method obvious.

“The practice of working from home to some extent exists in companies without the raging virus, which doesn’t stop their operations. Therefore, in a situation when there is a high risk of deterioration of the epidemiological environment, it makes sense to allow the maximum amount of people to work from home. It prevents people from using public transport where the risk to catch the virus is much higher than in the office. In most IT companies, the required infrastructure naturally allows for remote work. The most important thing is that employees should have well-equipped working places that won’t reduce their labor performance. In my opinion, it depends on the person, whether they will be able to self-organize. Some people introduce a kind of home ritual – when you put on green sneakers, then you are at work. After you take them off at 7pm, that means you are at home. In some situations, work may be disturbed by kids or family members, then, of course, the working efficiency will decrease. An ideal situation is when a person can organize a working process in a separate room where no one will distract them from work, but not work in the kitchen having tea with the family,” says Iryna Dyachenko.

IT companies – work with no risk for health

The coronavirus pandemic has shown that IT companies respond faster to situations that threaten employee health. While other companies may find it difficult to allow their employees to work from home, the IT sector has been ready for the quarantine a long time ago. For a significant amount of time, companies have had the implementation of tools for distant access to working resources. Today the demand for cloud solutions and remote work services is predicted to increase.

In the case of a pandemic, an even larger number of people will have to stay at home and work remotely. For this reason,  there will most likely be an upsurge in company demand for organizing remote working places for employees.    

“For companies that have the infrastructure for remote work, it won’t be difficult to shift at least a part of their employees to work from home. If a company is able to provide remote access to corporate e-mails, shareable resources, document management, such a decision won’t lead to large costs. In tech companies, the trend for remote work has existed for a long time, the mechanisms for effectively providing such work have been developed and successfully applied. The efficiency of the work itself mostly depends on employees, their responsibilities, ability to adjust to working processes at home and avoid distraction,” says Maxim Burtikov, Director at RIPE NCC.

It turns out that IT companies today could contribute to disease prevention, believes Artezio CEO Pavel Adylin.

“Remote software development is at the core of our business. For this reason, we talk about distance work not just in relation to measures for providing the quarantine that in many countries has not been enforced yet. Yes, IT companies are in a favorable position and are able to quickly move working processes beyond local offices. When we decided to allow the majority of our employees to work remotely, we were confident that the work on projects would continue with no loss in quality. We apply a wide range of tools, available to other companies as well, to maintain the working efficiency on the required level. Among them, remote testing equipment, distributed knowledge bases, audio and video communication means, task management and control systems. For us, a possibility for remote work is not a drastic measure during the epidemic, but a tool that is applied daily. Today there are 7 development offices in the company distributed in different cities of Eastern Europe. Project teams can be formed with specialists who are based several thousands of kilometers from each other, and it doesn’t affect working efficiency in any way.”

What to do next?

Experts say that the right decision would not be to react to a situation, but to foresee it and adapt to changing conditions.

“If you want to be ahead of your competitors, then use this advantage – an opportunity to work remotely. Of course, you will have to adjust your business processes, but as a result, everyone will win. There is not a one-size-fits-all solution, you will need to think of what works for you best and make reasonable decisions, not just copy someone else’s experience,” notes RIPE NCC top manager. 

Does it make sense today to transfer employees to distance work in advance during the current spread of the coronavirus? Will it help in fighting against the pandemic?

Different countries have their own epidemiological situations, and it is hard to give a universal response to this question. The attention should not be to shifting employees to work from home, but to preventing the spread of the disease. It is possible to introduce a company practice of examining employees to identify people with symptoms of a respiratory infection and let them go home timely, allowing working from home.

However, many business owners have concerns for employee health without such checkups and have moved working processes online instead of requiring in-office work.

Generally speaking, it is not difficult to organize remote work for employees of a small company. With the right IT solutions, this type of work could flourish. The main question is how to maintain work efficiency? It’s necessary to take into account requirements for easy communication, security, availability of collaboration services and system stability tools. 

Yulia Medvedeva, Emigrantista Founder, lives in Italy, a country that is no stranger to the devastating effects of the coronavirus. She works remotely for the IT company and sees that distance work is a good thing today, despite its potential scare.

“I live in Italy and work for the company remotely. I think that distance work is our common future that hasn’t come yet just because people can’t work remotely and are afraid of it. We lack skilled managers who would be able to set up a remote team, we don’t know how to build processes and communication. The coronavirus quarantine is a great opportunity to practice.

In Italy, since the beginning of March, many offices have moved their staff to “smart working” mode: they’ve provided them with work computers and are allowing work from home. It was a tough decision for many top managers. Moreover, many of them still have not been able to make this decision, and their employees continue to work in offices. There haven’t been any complaints among those who took this precautionary step—productivity has remained steady. I have strong hopes that after the end of the quarantine in Italy, a new virus will spread – the virus of remote work. After several weeks working in such a way, employees and managers will find it difficult to get back into office mode, and it will be even more difficult to forget the advantages remote work offers,” she adds.

The idea of Bigtime Daily landed this engineer cum journalist from a multi-national company to the digital avenue. Matthew brought life to this idea and rendered all that was necessary to create an interactive and attractive platform for the readers. Apart from managing the platform, he also contributes his expertise in business niche.

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Business

AI in Asset Management Explained: How Leading Firms Apply It

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AI in asset management explained at its most basic level is this: using machine learning, data modeling, and automation to make faster and more accurate investment decisions. The applications vary widely across asset classes, fund strategies, and operational functions. Understanding where AI creates real value separates productive adoption from expensive experimentation.

Asset managers now face a data environment far larger than any human team can process manually. Market signals, company filings, macroeconomic indicators, alternative data sources, and portfolio monitoring all generate information continuously. AI tools process that information at scale. They surface patterns that traditional analysis would miss or find too late.

AI in Asset Management Explained Across Core Investment Functions

AI delivers the most measurable results when applied to specific investment functions rather than deployed as a general capability. The clearest applications sit in portfolio construction, risk management, and credit analysis.

Portfolio Construction and Factor Modeling With AI

Traditional portfolio construction relies on return and correlation assumptions built from historical data. AI-driven portfolio tools go further. They process real-time market data, alternative signals, and macroeconomic inputs simultaneously. This surfaces factor exposures that static models miss.

Machine learning models in portfolio construction can:

  • Identify non-linear relationships between asset classes that correlation matrices do not capture
  • Adjust factor weightings dynamically as market conditions shift rather than on a quarterly rebalancing schedule
  • Flag concentration risks before they appear in standard risk reports
  • Model tail scenarios using a broader range of historical stress periods than traditional value-at-risk models allow

James Zenni, founder and CEO of ZCG with over 30 years of capital markets experience, has built the platform’s investment approach around the principle that better data and faster analysis produce better outcomes. That view shapes how AI capabilities get deployed across ZCG’s private equity, credit, and direct lending strategies.

Credit Analysis and Private Markets AI Applications

Credit analysis in private markets has historically depended on periodic financial reporting and relationship-based deal intelligence. AI changes that model. Lenders using machine learning tools now monitor borrower health continuously rather than waiting for quarterly covenant tests.

Specific credit applications include:

  • Cash flow pattern analysis that identifies revenue deterioration weeks before it shows up in reported financials
  • Supplier and customer relationship mapping that flags single-source dependencies and concentration risks
  • Covenant monitoring automation that tracks hundreds of credit agreements simultaneously and alerts teams to early warning signs
  • Loan pricing models that incorporate current market spread data and comparable transaction history

These capabilities compress the time between identifying a problem and taking action. In credit, that time advantage directly affects loss rates and recovery outcomes.

AI in Asset Management Explained Through Risk and Compliance Applications

Risk management and regulatory compliance represent two of the highest-value AI applications in asset management. Both functions involve processing large volumes of structured and unstructured data under time pressure.

How AI Transforms Risk Monitoring in Asset Management

Traditional risk monitoring produces reports at set intervals. AI-powered risk systems run continuously. They flag anomalies in position data and monitor correlated exposures across a portfolio. Alerts fire when market conditions shift beyond defined thresholds.

The practical risk management applications include:

  • Real-time portfolio stress testing against live market inputs rather than end-of-day snapshots
  • Liquidity modeling that accounts for position size relative to market depth across multiple scenarios
  • Counterparty exposure monitoring that aggregates risk across instruments, custodians, and trading relationships
  • Regulatory reporting automation that reduces manual preparation time and lowers the risk of filing errors

ZCG applies these capabilities across its approximately $8 billion in AUM. The platform was founded 20 years ago. It built its investment infrastructure around systematic data analysis and operational discipline.

AI for Operational Efficiency in Asset Management Firms

Beyond investment decisions, AI delivers significant value in fund operations. Back-office functions like reconciliation, reporting, and compliance documentation consume substantial resources at most asset management firms.

AI tools applied to fund operations include document processing systems. These extract and verify data from offering documents, side letters, and subscription agreements automatically. Reconciliation tools flag breaks between custodian records and internal systems automatically. Investor reporting platforms generate customized materials from structured data inputs, reducing the manual production time significantly.

ZCG Consulting (“ZCGC”) advises operating companies across more than a dozen sectors on operational improvement programs, including technology-driven process redesign. Those operational efficiency principles translate directly to asset management back-office functions.

Applying AI to Asset Management: Limitations Firms Must Address

AI in asset management explained fully must include the limitations. Models trained on historical data perform poorly when market regimes change. Overfitting produces tools that work in backtests but fail in live environments. And AI outputs require experienced interpretation to avoid acting on statistically significant but economically meaningless signals.

The ZCG Team approaches AI adoption with the same discipline it applies to investment underwriting. Every tool requires a defined use case and a measurable success metric. A review process keeps experienced judgment in the decision chain. That framework prevents the common failure mode where AI adoption generates activity without improving outcomes.

Firms that treat AI as a capability layer on top of sound investment processes generate sustainable advantages. Those that treat AI as a replacement for process discipline find the technology amplifies existing weaknesses. It rarely corrects them.

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