How AI support Project Managers

Discover the 4 functions in which AI support Project Managers

By Jeremiah Duggar

Artificial intelligence (AI) has already begun to reshape the way we think about business. While the idea of a robotic helper was once something we associated more closely with science fiction, things are now very different in the 21st century. Let’s discover how AI can support project managers.

Mechanical butlers may not yet be the norm, but an increasing number of workforces are turning to AI for support with day-to-day tasks. Current estimates show that as many as 35% of businesses are using AI in some form, with a further 42% considering how this technology could benefit them in the future.

It’s the cross-function and systematic methodology of AI which has seen it become an increasingly powerful tool for many enterprises. This ability to monitor, track, plan, analyse, and even budget, is transformative for companies. With all these amazing features, it’s little wonder that the Project Management Profession is at the forefront of AI adoption. In this short guide, we’re going to look at four ways a Project Manager (PM) can benefit from the support of AI in the workplace. From helping with the rigours of daily admin, to crafting strategies based on finite data, here are some of the best uses for AI at work.

1. Administrative task support

AI support for Project Managers

Tasks such as daily update tracking, managing documentation, meeting planning and scheduling, and setting reminders are all part of a Project Manager’s life. And while these are an important aspect of any job, small administrative tasks can sometimes pile up and distract a PM from more complex responsibilities.

A recent study found that when skilled workers turned to AI for help with daily tasks, their production levels rose by an impressive 40%. Placing these bitesize responsibilities on the plate of an AI helper allows a PM to focus on the key areas of their role, without having to worry about odd jobs. 

2. Data analytics

PMs whose responsibility it is to make actionable business decisions will also find that data analytics tools are game changing. The detail which AI is able to provide when assessing key business information makes high-stakes decision-making significantly easier than in the past. AI can draw from several databases to provide insight, troubleshoot past issues, track real-time updates, and even forecast future considerations. With all the key information immediately at a PM’s disposal, they’ll be able to make a confident, intelligent call about the next steps a business should be taking.

3. Budgeting and scheduling

Estimating the time and money required to effectively carry out a project is one of the biggest stumbling blocks a PM will face. It can feel almost impossible to accurately forecast for this at the beginning of a project, with so many factors (both known and unknown) needing to be taken into account.

Although that may be too much for a human brain to process, the same is not true of AI. The technology can draw on information from past projects, as well as live market trends and factors, to determine an accurate idea of how long something should take, and at what price point. While perhaps not a guarantee down the precise minute or cost, this estimate will be as close to reality as possible with all the factors available.

4. Risk management

Protecting both their assets and reputation is of paramount importance to a lot of companies. AI makes it easier than ever to pre-emptively detect and flag any signs of fraud, a breach in compliance, or sudden market fluctuations which could impact a company’s bottom line.

The AI risk management market is one of the fastest growing in the sector, with it expected to reach a total value of $7.4 billion by 2032. That’s a compound annual growth of 16.2% between 2023 and 2032. With an ever-growing number of organizations turning to AI for risk management services, PMs would do well to join the movement.

PMs certainly aren’t going to be replaced by AI any time soon – but it’s undeniable that the relationship between the two is growing closer. Any PMs looking to optimize their workload in the coming months would do well to utilize this technological helper. It is also strategic to position yourself with the knowledge and skills of how to use AI to your benefit that will help to enhance your career.


About the Author

Jeremiah Duggar is a finance and technology writer who enjoys breathing life into topics which can sometimes be a trifle stale. He spends most of his free time tracking the stock market or digesting the latest innovations in AI and machine learning. When he’s not doing that, he spends time with his two gerbils, Milton and Wallace.

Top AI marketing tools

What you need to know about AI marketing tools in 2024

By Jigar Agrawal

For any business it is not only about producing products and services, but also about content development, videography, photography, designing, and more. This is a good time to consider the top AI marketing tools in 2024 since marketing has the maximum to gain from Artificial Intelligence to add to your resources.

Adding AI tools to your marketing arsenal is surely going to give you promising results. If you haven’t used AI tools until now, 2024 is the year to inculcate.  When trying out new tools, it’s better to start with leading tools after a thorough understanding of them. 

In this article, we will uncover the top AI marketing tools, in my opinion, that you should know and try out in the coming year. 

Source: freepik.com

Top AI Marketing Tools for 2024

No wonder a 2018 McKinsey analysis of more than 400 advanced use cases showed that marketing was the domain where AI would contribute the greatest value.

  1. Copy.ai

If you are a content writer, Copy.ai will become your best friend this year. This is an awesome, AI-powered tool that will help you write high-quality content quickly. 

Imagine you are on a tight deadline, you use this tool to produce many different content pieces instantly and that too with minimal editing and proofreading requirements. All you have to do is give a content topic, some fine-tuning parameters, and an outline flow if you have something in mind already, and the tool will do the magic. 

The tool has a basic free plan with tight limits so that you can try it out a few times and jump on the paid plans to utilize all its features. The paid version starts at $36 per month, and you can get good discounts by opting for longer subscriptions. 

  1. Dall-e AI

If you have used ChatGPT and always thought of having a similar tool for generating photos and media elements, Dall-e AI is the one you are dreaming of. 

Dall-e’s working style is very much similar to that of ChatGPT. Here too you provide a prompt, basically describing the type of media element you want, and the tool will amaze you with its awesome creativity. The best part is, it helps you create original images, so you don’t have to worry about copyright or licensing issues. 

Dall-e AI image generation tool charges per image, and it remains between $0.016 to $0.04 based on the resolution and size. 

  1. MidJourney

MidJourney is another AI tool that can be used to create images for your blog or social media posts. If you have used the Dall-e AI tool and want a cost-effective and more robust solution, you should definitely look at MidJourney. 

This tool is embedded into Discord as a bot and is super easy to use. A chatbox is your initial assistant here, you provide it with clues of your imagination and it will quickly generate high-quality images. 

This tool is quite cost-effective and offers a monthly subscription at $10 only. 

  1. Optimove

When you are marketing your products, you need to know what your target audience thinks about them. Optimove is the tool for understanding your customers’ behavior and gaining insights from them. It is a platform that holds all data about your customers. 

It does a thorough research that is important to devise your upcoming steps, to produce better returns on your efforts. 

This tool comes with many great features, such as AI-powered A/B testing, audience segmentation, tracking across multiple social media channels, evaluating campaign performance, and providing actionable insights from customer behavior.

  1. Synthesia

Video content is highly favored, and in the coming years, it is only going to gain more followers and loyal customers. If you are a camera-shy person or don’t have a studio-grade camera, Synthesia is here to help you. 

To make this tool work for you, it requires only 2 steps and you are done. The 1st is a script that gists your demands and the 2nd is selecting an avatar/character. With this, the tool is all set to have you a professional-looking video. 

Synthesia offers different templates and avatars to choose from, and it provides editing options for the generated videos so you can enhance them further before you export and download them. 

It is a great tool to use when it comes to developing ‘how-to’ videos. Synthesia provides a paid plan starting at $22 a month, with other longer plans too. 

Conclusion

Be it the field of content creation or making images or videos, many are using AI tools to gain a competitive edge, and you should use them too. Keeping in mind that AI is not a total replacement for human creativity, it can certainly help you embark on your new voyage. Start your AI journey with the tools discussed above, and gain superb returns on your marketing efforts.

About the Author

Jigar Agrawal is a Digital Marketing Manager at eSparkBiz Technologies. He is passionate about anything related to Digital Marketing and Trending Technologies. He wants to unlock the world of technology and Social Media where every day there is a chance of new possibility as well as innovation.

How Current Trends Impact Project Management in 2019

By Jessica Kane

Many articles are publishedat the beginning of every year covering a variety of trends that will impact the business sector. This article will look at it from the perspective of how the trends in 2019 will impact project management.

The Adoption of Agile

One of the most significant trends is the rise of “business agile.” Starting in 2016, a number of business sectors or industries commenced adopting the Agile development framework impacting various business operational, management, and strategic operations, including project management.

Still many individuals are not yet well versed in business agile. Indeed, in some ways, the concepts and practices underpinning business agile are in various states of maturity. With that said, the essential definition of business agile, is an “amalgam of different business & IT methods that work synergistically to create an agile and competitive business model,” according to the Business Technology Management Institute.

The business agile model incorporates a variety of disciplines into its overall functionality. These include, but are not limited to: business technology management, IT portfolio management, business process management, enterprise architecture, information technology, and project management. 

Project management is impacted positively in that Agile help to improve employee communication, allowing the teams to inspect and adapt to changes faster and easier, often with quicker time to market and an earlier value realization for customers.

Increasing Interaction between the Internet of Things and Artificial Intelligence

During 2017, there was a great deal of discussion about the internet of things as well as artificial intelligence. Admittedly, a good deal of the conversations and presentations on these matters were speculative. However, in 2019 we see an increasing interaction between the internet of things and artificial intelligence, as the two impact or pertain to project management. 

The essential definition of the Internet of Things (IoT)is that it is a network consisting of physical devices of different types that are embedded with software, sensors, electronics, actuators, and network connectivity. These objects are enabled to connect and exchange data. Each thing in the network is uniquely identifiable, but able to inter-operate in a network utilizing existing infrastructure supplied by the internet itself. 

Artificial intelligence (AI)is defined basically as intelligence exhibited by certain machines or software applications. The term is also applied to the field involved in the creation of computers and computer software that are capable of so-called intelligent behavior.

The ongoing convergence between the Internet of Things and artificial intelligence, which is expected to reach a new plateau in 2019, will impact project management. Project management is already heavily reliant on technology in many sectors. Thus, imagine AI machine learning focused on PM domains, like ROI models, common risks and estimation omissions. It can be used as a safeguard from making basic technical project management errors or omissions.

The First Wave of Millennial Project Managers will Appear

Millennial project managers

Another trend in 2019 is the first real wave of Millennial project managers appearing on the scene. Although there has been a sprinkling of Millennial project managers at work already, they have been few and far between. 

The primary reason why Millennials really haven’t been heavily involved in project management to this point really has been a function of age. The generational cohort simply hadn’t reached the stage where they had the experience and background necessary to occupy many project management positions. 

By 2019 a larger group of Millennials will have gleaned the experience necessary to take on project management roles. More Millennials will be found in project management positions, particularly in those industries that more heavily rely on technology. 

Although the Millennial generational cohort has a number of distinguishing features, the group is perhaps best identified by its use and familiarity with communications, media, and digital technologies. Their familiarity with and reliance on these technologies is more profound than their generational predecessors, including Gen X and certainly Baby Boomers. 

Refer to this video article: “How to manage different generations at work” to help you understand the Millennials better. It’s wise to acknowledge that Millennials will have an impact on project management in many different ways. The number of Millennials assuming project management positions in 2019 will determine how significant the impact on project management practices will be. Expect some alteration in the manner in which project management is approached because of Millennials reliance and even addition to social media and digital technologies.

About the author:

Jessica Kane is a professional blogger who focuses on personal finance and other money matters. She currently writes for Checkworks.com, where you can get personal checks and business checks

What is Cognitive Computing

What is Cognitive Computing exactly?

The purpose of this article is to help Project Professionals better understand the meaning of Cognitive Computing and how it’s disrupting business today.

CC describes technology platforms that, broadly speaking, are based on the scientific disciplines of artificial intelligence and signal processing. These platforms encompass machine learning , reasoning , natural language processing , speech recognition and vision (object recognition), human–computer interaction , dialog and narrative generation, among others

Wikipedia definition of Cognitive Computing (CC)

Cognitive computing makes it possible to process data much faster than humans according to research done by Ohio University. If you allow cognitive computing to transform your business, there are certain principles to adhere to, factors to consider for adoption and ways to integrate it into business.

Principles

Humans and computers are now interacting. In business, robots could help professionals as follows:

  • identify and avoid bias,
  • make well-informed decisions,
  • increase the speed and consistency of decision-making.

According to IBM, Artificial Intelligence (AI) should serve a distinct purpose. This purpose, whether it’s used in systems, products, or services, must always be under human control as AI exists to assist humans, not replace them.

A layer of transparency is required. For AI to work, business leaders need to trust the results. This means there must always be clear answers to AI usage, the data the AI handles, and AI is protecting the data and its insights.

Worker skills need to be enhanced. AI doesn’t work without humans, so business leaders need to support them by ensuring workers have proper training to work with AI in a safe, secure, and efficient manner.

Businesses using cognitive computing will likely have to create or be subject to various policies. This can be viewed as an extension of policies around data and privacy, which are continually evolving. In this case, proactively preparing policies could help combat fear, uncertainty, and doubt.

Adoption

IBM offers some ideas for adopting Cognitive Computing.

  1. Develop a cognitive strategy to determine where AI should fit among products, services, processes, and operations.
  2. Construct a foundation of useable and reliable data and analysis.
  3. Another key strategical component is the use and proper configuration of cloud services.
  4. Businesses must fine-tune their IT systems for cognitive workloads.
  5. Finally, business must make sure the cognitive computing system is secure.

Steps to Integration

An integration approach needs to consider a few things.

  • Businesses must firstly determine what opportunities exist to create more engaging and personalized customer experiences.
  • They must also pinpoint specific data that can help them meet objectives but isn’t being leveraged.
  • Then calculate the cost of their organization relating to non-evidence-based decisions.
  • They also need to determine the benefits gained by detecting hidden data patterns.
  • Finally, they need to figure out their organizational expertise skill gap.

Below you will find an Infographic that provides a good summary of Cognitive Computing.

How properly utilizing cognitive computing can allow businesses to use technological advances to increase corporate efficiency

Ohio University