To properly prioritize sought-after competencies and prepare your workforce for the coming challenges and opportunities, a data-driven approach is needed.  

According to the third annual Coursera’s Job Skills Report, which stands as a valuable reference for developing innovative skill strategies, there are 8 key fastest-growing skills for 2024: 

• Leading Teams with Empathy  
• AI-Related Skills for Increased Productivity  
• Cybersecurity and Information Security  
• Business Skills & Digital Marketing as Core 
• Data Visualization for Faster Decision-Making  
• Cloud Computing  
• Audit and Compliance Skills  
• Customer Retention 

Top Job Skills Driving Innovation in 2024: Overview 

Here’s a quick summary of the fastest-growing job skills in business, technology, AI, data science, and cybersecurity for 2024: 

Fastest-Growing AI Skills  

Estimates at Bloomberg Intelligence show the market for AI solutions is set to grow to $1.3 trillion over the next decade, while job listing site Upwork reported a 1000% increase in the number of generative AI job posts made in the first half of 2023.  

Not surprised? So are we. Explore below the fastest-growing AI skills enabling learners to build ML models, facilitate automation, and more.  

Cloud Computing  

Gartner expects the global cloud computing market to have skyrocketed from $490.3 billion in 2022 to $591.8 billion in 2023.  

It presents an exciting opportunity for businesses and job seekers, with cloud computing jobs being some of the most in-demand roles in the tech industry.  

Cybersecurity  

With the critical need to protect against growing numbers of cyberattacks worldwide and the increasing capabilities of AI creating new security considerations, investment in cybersecurity skills will benefit employees and institutions alike in the year ahead.  

There’s an estimated shortfall of more than 3.4 million cybersecurity workers. That figure is likely to climb, with employment of information security analysts expected to grow 32% from 2022 to 2032 in the United States alone. 

Audit and Compliance Challenged by AI Regulations 

Only 37% of HR leaders, in-house counsel, and executives guide employees in using AI tools.   

Meanwhile, data privacy and security rank as the top concerns of Chief Intelligence Officers regarding AI.  

With generative AI transforming productivity, it will be crucial to develop the capability of employees to review and evaluate an organization’s compliance.  

Customer Success 

Customer success and relationship management skills are among the top ten fastest-growing business skills.   

According to McKinsey, unlocking new revenues from existing customers accounts for 80% of value creation in leading growth companies.  

So, there is a burning need for businesses to navigate customer retention and expand the value delivered to both current and potential customers. 

Leadership   

“Manager effectiveness” is ranked as the top priority for HR leaders—and employees are facing change fatigue, with willingness to support organizational change collapsing from 74% in 2016 to 43% in 2022.  

To effect change, the leaders of tomorrow will need to be agile, compassionate, and able to keep individuals and businesses aligned.  

Data-Literacy as a Baseline Expectation for Employers  

Today, only 11% of employees are confident in their ability to read, analyze, work with, and communicate with data—showcasing the vast need for upskilling and learning.  

Institutional leaders recognize the need to respond, with 85% of C-suite executives believing that being data-literate will be as vital in the future as the ability to use a computer is today.  

So, data visualization with the help of business intelligence software also joined the top of the fastest-growing skills.  

Digital Marketing   

The rapid growth of the global advertising and marketing industry, which is expected to rise to $1.5 trillion in 2030, illustrates the spurred demand for digital marketing skills. In the US alone, employment in digital marketing-related professions is projected to grow rapidly up to 2032.  

Meanwhile, shifting consumer behaviors—powering trends like increased social selling—with 76% of people making buying decisions on social media—call for upgraded skills from digital marketers.  

To adapt to a new paradigm, organizations should invest now in equipping learners with the skill sets to deliver modern marketing strategies. 

Your Workforce Check  

By addressing these questions, you may check if your organization has the right skills.  

Strategic Alignment:  

• Which job skills are most critical for achieving your business goals and strategic initiatives?  
• How do these skills differ across departments and levels within the organization?  
• Are there any skills gaps that could hinder our progress, and how can we address them?  

Talent Acquisition & Retention:  

• How can we attract and retain top talent who possess these critical skills?  
• What are our competitors doing regarding these skills, and how can we compete effectively?  
• How can we develop and upskill our workforce to meet these changing demands?  

Future-Proofing the Organization:  

• What emerging technologies and trends might impact the skillset we need in the future?  
• How can we invest in skills that will remain relevant and valuable in the long term?  
• What kind of culture and learning environment do we need to foster continuous skill development? 

How to Find and Hire Sought-After Specialists with Digital Mindsets in 2024 

While a business-driven digital mindset is critical for increasing competitive advantage, leaders need well-established best practices to find and onboard it or unlock it in current employees.  

Wherever you are on your digital journey, we’re ready to help. Our experts can support you with extracting your potential to transform, innovate, and grow by:    

• Delivering digital mindset—the only one that can help with innovation: technical expertise ensures your digital programs and processes are up to date and as efficient as can be.  
• Integrating top talents with your current team through the Remote In-Sourcing® model.  
• Forming the most efficient distributed teams through the just-right Team Formation methodology. 

With a digital mindset, you’ll ask the right questions, make smart decisions, and appreciate new possibilities for a digital future. Leaders who adopt advanced approaches will be able to develop their organization’s talent and prepare their company for successful and continued digital transformation. 

Feel free to connect with our experts to discuss your unique needs and what it really takes for your business to thrive in the age of data, algorithms, and AI.  

Summing Up  

All in all, companies looking to boost competitiveness in 2024 have a wealth of opportunities:  

• Make data-driven decisions while identifying priority skills.  
• Invest in upskilling and reskilling of your workforce. 
• Embrace automation and AI with qualified audit, cybersecurity, management, and marketing professionals on board. 
• Rely on a trusted technology partner to help you source and acquire sought-after specialists with Digital Mindsets. 

The post Futureproof Your Organization with Digital Minds: Top Job Skills Driving Innovation in 2024 appeared first on Intetics.

As we bid farewell to this remarkable year, it’s impossible to ignore the exhilarating journey of technological breakthroughs that have unfolded before us.

While AI certainly stole the spotlight, it wasn’t the sole hero of this tale. Generative AI models took center stage, captivating industry giants and innovative newcomers.   

However, the 2023 revolution extended far beyond just AI; Web3, AR/VR, and quantum computing emerged as catalysts, propelling generative AI into uncharted territories and promising an exciting future filled with endless possibilities.   

Join us on a journey through the top innovations of 2023, a year that redefined the IT industry and offered a glimpse into the tech-driven world of tomorrow tailored to your needs and interests. 

I. ChatGPT: Impacting Industries and Shaping the Workforce

ChatGPT, despite technically being launched in November 2022, became the standout narrative of 2023. The key breakthrough lay in ChatGPT’s ability to humanize technology. Unlike traditional search methods requiring specific phrases, ChatGPT responded to natural language.  

Now, it’s transforming industries, including software development, and raising questions about its impact on jobs as it takes over tasks once done by humans. 

Evolution and Advancements 

Over the past year, ChatGPT has learned to adapt to a range of user needs, from writing emails to enhancing resumes and even supporting the creation of businesses.  

At the start of 2023, there was only a free version with text-based responses available.  

Now, users can subscribe to ChatGPT Plus to access the latest version, ChatGPT-4. 

According to OpenAI, ChatGPT-4 has seen improvements in training on more data, generating fewer errors, and understanding nuanced instructions.  

A notable addition is its ability to “see, hear, and speak,” which allows subscribers to have voice conversations and share images for ChatGPT to process. For example, they can take a picture of a flower and ask about its type and care instructions. 

At the core of ChatGPT’s prowess are Large Language Models, and OpenAI’s GPT-4 served as the driving force. The LLM landscape expanded in 2023 and featured newcomers like Google’s Gemini LLM (empowering Bard, a ChatGPT competitor) and others, including Meta’s Llama 2 and Amazon’s Olympus. 

Google programmer Kenneth Goodman tested ChatGPT on examinations; it scored 70% on the US Medical Licensing Exam and a legal Bar Exam. It also did well on other tests—78% on a high school chemistry exam and reached the 40th percentile on the Law School Admission Test. 

The Use of ChatGPT in Software Development Tasks 

One key advantage of ChatGPT for developers is its ability to comprehend and execute precise coding instructions. Developers can articulate the purpose, parameters, and expected outcomes of their tasks in a conversational manner. They can also engage ChatGPT in a dialogue to explore various AI libraries and coding resources.  

Read also: ChatGPT for Software Developers: Better Code, Increased Productivity, and Premier Product Quality [With Examples of Prompts] 

ChatGPT as the Biggest Fear in Replacing the Workforce 

2023 was full of debates about work replacement. Can ChatGPT replace developers, for example? Not in the present moment, or at least not as of now.  

ChatGPT operates at the proficiency level of a skilled first-year programming student with a tendency towards idleness. The tool makes coding easier for programmers and saves time, especially for those with less experience; however, it can’t handle complex projects on its own now.  

However, the chatbot’s capabilities have exceeded expectations. According to Google, the search engine would consider hiring the bot as an entry-level coder based on its performance. Moreover, according to a recent study by Goldman Sachs, generative AI tools may impact around 300 million full-time jobs globally. 

Anu Madgavkar, a partner at the McKinsey Global Institute, emphasized seeing these tools as helpers for productivity, not total replacements. She also highlighted the need for a careful approach to using them. 

II. First AI Legislation in the US

The surge in popularity of ChatGPT was followed by concerns about AI’s impact on jobs, misinformation, and its potential intelligence, and this has led to regulatory efforts. In November 2023, President Biden issued an executive order introducing the first set of rules for AI systems in the United States.  

The regulations require rigorous testing for advanced AI products to prevent their misuse in biological or nuclear weapons. Also, to address fears of AI-generated deep fakes and disinformation, there are recommendations (though not requirements) for watermarks on AI-generated photos, videos, and audio. 

For now, these rules apply only to American companies. To overcome this, the US administration is urging other countries, both allies and adversaries, to adopt similar regulations. The European Union’s AI Act was finally agreed in December. 

III. New AI-Driven Marketing and Design: Midjourney, Genmo, and AI Podcasts

In 2023, AI-based text-to-image generators like Midjourney, Genmo, DALL-E, and Stable Diffusion reached new levels of realism. This led to a wave of viral AI-generated photos, like a Midjourney-generated image of Pope Francis in a white puffer coat. What this showed to industry professionals and the public is that creating viral marketing campaigns could now be done with just a few prompts. 

There was also an interesting case of Coca-Cola collaborating with OpenAI and launching the Create Real Magic campaign, inviting consumers to create Coke-related artwork using generative AI. 

In the podcasting space, text-to-speech systems convert written content into natural-sounding audio. The first AI-generated podcast that gained traction took a unique approach — it used the cloned voice of popular podcaster Joe Rogan. The Joe Rogan AI Experience simulated conversations between AI Rogan and fake guests like OpenAI CEO Sam Altman and former President Donald Trump. 

Despite its AI nature, the episode garnered over half a million views on YouTube, with some listeners overlooking its artificial origin. It’s unclear, though, whether people’s initial interest was just because it was something new and different or a lasting attraction.

IV. Growth of AI Assistants

2023 was also the year of AI assistants. Microsoft is investing heavily in gen AI tools to transform how users engage with Windows PCs using the AI assistant. 

The idea is simple: with just one click on the taskbar, more than half a billion Windows 11 users can use Copilot for various tasks, like creative support in Microsoft 365, shopping advice on Edge, and meeting summaries on Teams. No third-party application or extension is needed. 

MIT Technology Review already reports that if you asked a group of computer science students or programmers if they used Copilot, many would raise their hands. According to Iansiti, a Keystone Strategy co-founder, professor at Harvard Business School, and one of the interviewees, Copilot and similar tools might add $1.5 trillion to the global economy by 2030. 

Though it’s a rough estimate, Iansiti thinks the actual impact could be even larger. On the one hand, companies could obtain more code for less money. On the other hand, they could expect more people to become coders because these tools make it easier to get into software development. 

For example, Intetics has adopted AI in its teams and uses it for tasks like development, testing, business analysis, UI/UX design, and management, including talent acquisition and talent management. This confirms the growing recognition of AI’s transformative impact on business functions. 

V. Interest and Practical Applications of Digital Twins

Digital twins, virtual replicas used to simulate real-world behavior, are proving invaluable and notably reduce time to market. McKinsey reports revenue increases of up to 10% through customer-focused digital twins. Daimler’s customer twins, that allow virtual “test drives,” are a perfect example of this. 

Mercedes-Benz and Daimler Truck are digitizing their entire automotive value chain, which sets the stage for the future of manufacturing. Their breakthrough solutions are set to enhance data flow, reduce costs, and boost operational agility. 

Several other developments were showcased at SPS 2023 by AWS Partners, including:  

• Bosch demonstrated an Integrated Asset Performance Management solution using AI/ML to prevent asset failures and reduce unplanned downtime. 
• Software AG can now help equipment manufacturers build digital twin platforms for connected machinery. These allow manufacturers to create precise digital representations of their asset fleets and incorporate real-time performance data. 

VI. Metaverse for Enterprises: A New Platform for Leads Generation, Sales & Marketing, Events, and HR

The metaverse is enhancing the ongoing trend of personalized user experiences driven by mobile internet. Consumers are expected to use the metaverse as an advanced virtual space to enrich their real-world experiences. 

In 2023, businesses became better at harnessing the potential of the metaverse as the preferred digital realm for consumer engagement. For example, TCS, a major IT service provider, is investing in its metaverse project, ThemaTICS, and aiming to create immersive experiences in areas like e-commerce and workplace training. Nike is doing Nikeland, a “micro metaverse” within the Roblox ecosystem. And there is more to come. 

Like any evolving trend, the move to the metaverse will unfold gradually and continually, without a clear start or end point for the metaverse era. 

VII. AR and VR Experiences: Apple Vision Pro

Generative AI amplifies the potential of AR and VR and leads to better products as a result. The game-changer this year was Apple’s headset. 

Apple’s Vision Pro headset was unveiled at the Worldwide Developer Conference after seven years of development. The project is described not as a mobile device but as a “spatial computer.” 

Despite its $3,500 price tag and limited initial audience, the Vision Pro is anticipated to open the door to a new level of mixed reality experiences. ZDNET’s Editor in Chief, Jason Hiner, left WWDC convinced that Apple’s breakthroughs would redefine the next decade. It became available for purchase on February 2, 2024, in the United States. A worldwide launch has yet to be scheduled.

VIII. Hyperautomation

The term Hyperautomation, referring to a methodical, business-centric strategy, was first coined by Gartner in 2020. So, it isn’t new. The key change from previous years to 2023 is that hyperautomation is speeding up. There is an increasing shift towards digital-first strategies, which is why IT teams are dealing with a surge in processes and data, and they need automation more than ever.  

Boris Krumrey, UiPath’s Global VP of Automation Innovations, highlighted in a recent talk with Technology Magazine that AI-powered automation is going through a big change with the introduction of generative AI. Krumrey believes that when generative AI collaborates with automation, it brings revolutionary benefits to businesses and ushers in a new era of efficiency and innovation. 

IX. Quantum Computing

McKinsey estimates that by 2030, there will be around 5,000 operational quantum computers. Despite their limited number, Quantum AI is believed to be one of the key reasons quantum computers stand out from the computers we use today. So, what happened in the field in 2023? 

IBM introduced the Heron processor at its Quantum Summit, and the product featured architecture designed to provide the highest performance and lowest error rates among all its quantum processors. Additionally, IBM presented the Quantum System Two, its first modular quantum computer, located in Yorktown Heights, New York. The system operates with three IBM Heron processors and control electronics. 

UC Berkeley, Harvard University, University of Cologne, University of Washington, Argonne National Laboratory, The University of Tokyo, Fundacion Ikerbasque, Qedma, Algorithmiq, and Q-CTRL all focus on the potential of large-scale quantum computing. This goes beyond solving problems native to quantum computing, as they’re also figuring out how to combine quantum and classical systems. 

Recent breakthroughs in AI have brought new energy and optimism to the tech industry, and some would even say they’re filling a void from previous years. 

Think about this: ChatGPT has over 100 million active users, and even C-suite executives personally leverage gen AI tools for work. Ignoring or dismissing gen AI as a passing trend is no longer an option.  

Extend your business opportunities with advanced solutions and stay tuned with Intetics, AI-First SoftDev Company. 

The post 2023: IT Revolution–Top Innovations That Redefined the Industry appeared first on Intetics.

Organizations prioritizing effective project management witness better long-term results, which makes it crucial for executives focused on company growth. A proficient project manager plays a key role in defining project scope and saves costs by keeping projects on track and assigning the right personnel. 

Now, project management is evolving with the integration of artificial intelligence. The 2023 PMI Global Survey shows that 21% of businesses already use AI frequently. The use of Generative AI like OpenAI’s ChatGPT has sped up AI’s impact on the profession. This shift in project execution is acknowledged by 82% of senior leaders who anticipate AI impacting their organizations’ PM in the next five years.  

Explore specific scenarios in which ChatGPT can enhance project management and alternative AI-based tools to bring projects forward. 

Read also: ChatGPT for Software Developers: Better Code, Increased Productivity, and Premier Product Quality [With Examples of Prompts] 

15 Scenarios to Increase PM Productivity with ChatGPT  

You might be steering a large-scale initiative or overseeing day-to-day operations. Regardless, these scenarios, where AI has proven its positive impact, show how to integrate ChatGPT into your workflows. 

Generating Feedback 

As a project manager, employing ChatGPT for generative feedback introduces a fresh approach to evaluating team progress and contributions. You can use its ability to mimic human-like interactions and open up new avenues for communication and idea exchange.  

The tool can also adapt its responses to provide tailored insights. This personalized touch enhances the relevance of the feedback and demonstrates a thoughtful engagement. 

Preparation for 1-to-1 Meetings 

ChatGPT can help brainstorm and draft agendas focused on specific topics like performance feedback or goal setting. During meetings, you can take notes and later ask it to organize and refine them into clear action items. Afterward, the tool can aid in drafting emails to team members with meeting summaries, feedback, or next steps. 

Generating Candidate Feedback 

Interviewing Project Managers can leverage ChatGPT to offer personalized feedback to candidates after interviews. For example, you could instruct it to compose a polite rejection email for a candidate who wasn’t selected for a position. This helps to ensure a positive and considerate experience for candidates in the job application process. 

Comparing Candidates with ChatGPT 

Consider using ChatGPT to evaluate candidates against job specifications. You can provide details about a candidate and the job requirements and instruct ChatGPT to assess their suitability by generating a list of pros and cons. This way, you’ll leverage the model’s ability to analyze information and save time. 

Goals for Assessment 

Ask ChatGPT to provide the top KPIs and metrics related to your domain or problem to inspire your objectives and key results strategy: 

• “What are the key success metrics for assessing the effectiveness of a learning and development program?” 
• “Explore goals for driving innovation and creativity within a technology-focused team.” 

Engage your team in a discussion to determine the areas of focus and the improvements you aim to achieve.  

Getting Insights about a Region or Client 

Let’s say you’re planning to launch a delivery service in Chicago. Use ChatGPT to get insights on your potential customers in this area — age, income, education, gender, and preferred locations.  

But always back up ChatGPT’s info with real data from talking to your audience. It gives you a better understanding and avoids any inaccuracies the tool might have.  

Generating Greeting Emails 

The tools can assist in composing full emails, crafting relevant replies, summarizing messages, and improving spelling and grammar. You just need to provide key details or an outline, and this will guide the model to create professional and coherent content. 

Rephrasing 

Finding alternative phrasing can make your message or email more impactful, and here’s what you can ask for: 

• “Can you help me find another way to say this?” 
• “I’m trying to make this paragraph more compelling — any ideas?” 
• “I’m looking to trim down this concept a bit.” 
• “How else can I express this sentiment?” 

Analyzing Requests for New Candidates 

With its training on extensive datasets of resumes and job descriptions, ChatGPT will analyze requests from new candidates. The model can pick out important words and phrases related to different industries and jobs to create short summaries. These summaries point out key skills, experiences, and qualifications that match the requirements of a specific job. 

Writing Case Studies 

ChatGPT can efficiently gather project details, structure content, and draft key sections such as challenges, solutions, and outcomes. The tool actively refines language, generates team quotes, and enhances readability.

ChatGPT actively aids in reviewing and refining the case study for accuracy and coherence, resulting in a polished and comprehensive case study that actively communicates the success of the software development project.

Investigating Tech Issues  

When facing technical issues, such as delivery delays, you want to prevent user dissatisfaction. While it’s not up to the project manager, be sure to have a robust disaster recovery plan in place.

ChatGPT can assist in structuring a comprehensive disaster recovery plan by outlining various scenarios, protocols, and necessary steps to mitigate any crisis. 

Following Up Meetings 

Create an email for your client or team members that recaps the meeting and outlines the tasks. For instance, use the prompt: “Based on these meeting notes, write an email following up on what was discussed in the meeting and summarize the action items.”

You can also guide ChatGPT in your preferred tone and ask it to be more concise or friendly so that the final email suits your communication style. 

Resolving Conflicts in the Team 

ChatGPT can assist by giving prompts to uncover the reasons behind conflicts and suggest solutions. For example: 

• “Help me understand the issues between team members A and B.” 
• “Give tips on calming tensions during team meetings.” 
• “Suggest a step-by-step approach to resolve a disagreement between two team members.” 

These prompts are handy for project managers who seek to handle conflicts effectively and promote a positive team atmosphere. 

Risk Management 

The ability to proactively identify and address potential challenges, be they financial, operational, or regulatory, is a strategic imperative. You can make it easier for yourself with this series of prompts, though: 

• “Develop a plan to identify and mitigate potential risks.” 
• “Create strategies for fostering a risk-aware culture.” 
• “Establish a process for assessing all potential risks in [specific activity or project].” 
• “Ensure our risk management processes are current and effective.” 
• “Create a detailed risk register for tracking and monitoring all potential risks.” 

Writing a Story 

ChatGPT can help you generate ideas, structure plots, and craft settings that breathe life into your project stories. To write compelling narratives, try asking the tools to share an interesting story about [theme] that will catch the interest of [audience]. Or to write a story that motivates [audience] to act and make a difference in [subject matter]. 

ChatGPT Alternatives for Project Managers 

ChatGPT has undoubtedly made waves, but this compilation is for project managers who are open to exploring a range of tools beyond the familiar.  

Office 365 Copilot 

Office 365 Copilot is an AI-powered tool integrated into Microsoft 365 apps (Word, Excel, PowerPoint, Outlook, and Teams). It is a dedicated assistant for a project manager who wants to perform their duties more efficiently within the familiar Microsoft 365 environment. 

Duet AI 

Duet AI functions as an AI collaborator accessible on Google Cloud and various IDEs. One useful feature for project managers is “take notes for me.” This tool captures real-time notes, action items, and video snippets during meetings. Once the meeting ends, Duet AI automatically generates a summary and shares it with attendees.  

SynthesiaAI 

SynthesiaAI is a video creation tool that lets you make professional videos without equipment. You just use your own script or generate content with AI prompts similar to ChatGPT. Consider using it to create video presentations and communicate project updates. 

MidJourney 

MidJourney is an AI art generator that transforms text prompts into images. The outcomes vary from photorealistic depictions to imaginative and stylized fantasy art.  

This tool can be valuable for project managers who want to break away from traditional text-based approaches. You can convey ideas visually in presentations, reports, and even casual communication. 

Claude 

Claude assists with tasks like summarization, search, creative writing, collaborative writing, and Q&A. It’s also designed to adapt to different personality traits and tones to ensure customized responses. A key selling point is its foundation in Anthropic’s research that trains AI systems to be honest and harmless. 

Perplexity 

Perplexity delivers answers to specific questions by looking up multiple sources for accurate information retrieval. It simplifies content creation and supports project development by generating clear outlines and logically organizing subtopics. It also ensures information credibility through reliable citation and source verification. 

Taplio 

Taplio is a compelling alternative to ChatGPT that crafts human-like LinkedIn posts from scratch. Use this feature to showcase projects, milestones, or team achievements with a personalized touch. Also, when searching for new team members on LinkedIn, you’ll find yourself reaching for Taplio, too. 

Enhance Speech 

Enhance Speech is a practical solution for refining audio quality in recordings made with low-quality microphones like those in phones or online meetings. It eliminates background noise and enhances dialogue, which gives the audio a professional studio-quality feel. This simplifies communication and elevates the overall quality of multimedia presentations. 

ElevenLabs 

ElevenLabs uses an advanced AI voice model to generate realistic speech in multiple languages. With the capability to create authentic voices and convert text to speech in minutes, the tool is highly versatile for videos and presentations as well as improving workplace accessibility. 

Adobe Firefly 

Adobe Firefly is set to be “the world’s first generative AI model focused on producing vector graphics.” One standout feature, Mockup, allows users to apply vector art to 3D scenes, which you apply to design products or logos. You don’t have to wait for a designer to communicate ideas efficiently with teams and stakeholders. 

Feedly 

Feedly helps you manage information easily. It lets you focus on specific topics, trends, and keywords while removing repetitive or irrelevant news. This helps project managers stay up to date with client news and industry trends or any other topic relevant to the project. 

MyMind 

MyMind is a secure platform to store and manage crucial notes, images, quotes, and highlights privately. It functions as a personal search engine, where you can retrieve information by color, keyword, brand, or date. All project-related data, including inspirational images, meeting notes, and feedback, will remain accessible.  

Summary 

The versatility of ChatGPT in project management is noteworthy. Just the 15 scenarios mentioned in this article alone can significantly ease administrative and operational burdens. 

For managers aiming to embrace AI in their project management processes: 

• Assess current project management practices to find areas where AI can add value. 
• Select technologies that fit your environment. 
• Implement robust data management systems to provide AI algorithms with high-quality, relevant data. 
• Develop training programs to empower teams for effective use of AI tools. 
• Continuously evaluate the performance of AI integrations and make improvements based on feedback and changing needs. 

AI’s abilities, such as rapid data processing, pattern recognition, learning, and predictive analysis, are only going to evolve. The future of AI looks bright, especially in terms of its contribution to enhancing project efficiency and decision-making. 

Featured materials: 

• ChatGPT for Software Developers: Better Code, Increased Productivity, and Premier Product Quality [With Examples of Prompts]
• Why GitHub Copilot Is the Ultimate Game-Changer for Software Developers
• Alternatives to GitHub Copilot: Tabnine, AWS CodeWhisperer, and Bito to Increase Developers’ Productivity by 20%

***

Explore how our teams increase productivity by 20-40% using AI assistants across the whole organization. Reach out today!

The post AI-Augmented Project Management: 15 Ways to Automate Time-Consuming Tasks with ChatGPT [+12 Other AI Assistants] appeared first on Intetics.

Conversational AI is a highly lucrative technology for enterprises, helping businesses prevent customer attrition, enhance experience, and become more profitable.   

While AI-powered chatbots and virtual assistants are the most popular forms of conversational AI, many other use cases exist across industries.    

Discover business applications, benefits, and strategies for implementing Conversational AI within an organization, peer-reviewed by the global academic community.   

Conversational AI for Business Success: How to Amplify Artificial Intelligence 

On January 4, Pavlo Yalovol, Intetics VP of Innovation, presented the scientific paper ‘Conversational AI for Business Success: How to Amplify Artificial Intelligence’ written by Boris Kontsevoi, Intetics CEO and President, at the virtual stage of the eighth edition of International Conference on Information System Design and Intelligent Applications (ISDIA). 

Read also: AI-Powered Coding Assistants—Friend or Foe for Developers? Pavlo Yalovol, Intetics Vice President of Innovation for ITID Lviv 

The ISDIA 2024 conference brought together researchers, scientists, engineers, students, and industry practitioners to exchange theories, methodologies, new ideas, experiences, products, and applications in all areas of intelligent computing methodologies. Participants explored how AI, ML, and other innovative technologies enhance and safeguard our interconnected world.  

Get a glimpse of the key presentation insights, and feel free to access the full paper by reaching out. 

AI in Action: Advancements, Capabilities, and Transformative Benefits 

Conversational AI and virtual voice assistants with natural language processing (NLP) and machine learning under the hood have emerged to simplify daily routines by handling tedious, time-consuming, or complex tasks. NLP deciphers human language, while ML enables learning from data, making these technologies proficient in human-like interactions.  

The adoption of AI experienced a 10% surge from 2021 to 2023, attributed to the proactive efforts of IT professionals. Projections indicate a substantial annual increase of 38% in the global AI market value from 2022 to 2030.   

Recent research by McKinsey highlights the financial advantages of incorporating conversational AI, positioning companies with a competitive edge, and driving heightened investments in AI development. 

Conversational AI’s Potential across Industries 

AI-driven chatbots and virtual assistants enable seamless conversations, automate mundane tasks, and gather valuable customer insights across Healthcare, Finance, E-commerce, Education, and other industries:

Featured Case Study: AI-Powered Virtual Nurse Helps Over 100,000 Patients Worldwide to Monitor Their Health Daily 

Advancements in NLP: Models & Algorithms 

Recurrent neural networks for generating word sequences enable tasks like text prediction, handwriting recognition, and speech recognition. Explore the newer NLP models, which can answer intricate research questions and process information across multiple languages. 

Different Types of NLP Models 

There are four key neural network architectures:  

• Feedforward Neural Networks (FNNs): Process data unidirectionally from input to output. Suited for tasks without sequential/temporal dependencies. Applied in classification and regression.  
• Convolutional Neural Networks (CNNs): Ideal for grid-structured data like images. Use convolutional layers to detect patterns. CNNs are used in image recognition and object detection.  
• Generative Adversarial Networks (GANs): Composed of a generator and discriminator network. The generator creates data; the discriminator differentiates from accurate data. GANs are employed in image generation and data augmentation.  
• Recurrent Neural Networks (RNNs): Designed for sequential data processing. Feedback loops allow the learning of patterns in sequences. RNNs are applied in language processing and time series analysis. Challenges like vanishing gradients are addressed by LSTM and GRU variants. 

The Ethical and Reliability Challenges of AI 

Discover core challenges faced by conversational AI that businesses should be aware of: 

• Understanding Context: AI may struggle with broad contexts and subtle nuances, leading to misinterpretations.  
• Data Bias Risks: Reliance on incomplete or biased training data can lead to skewed and unfair interaction outcomes. 
• Human Oversight Necessity: Expert review is essential to mitigate risks of unexpected consequences from AI autonomy.  
• Vulnerabilities to Exploitation. AI systems can be exploited for disinformation and propaganda. 
• Consumer Trust. McKinsey survey reveals high consumer trust in AI, often surpassing human expertise. 
• Realism and Validation. AI should not be the sole decision-making tool; rigorous human testing and validation are crucial. 

NLP API Options: A Look into Leading Choices 

There are various APIs (Application Programming Interfaces), which encompass a range of functionalities, including sentiment analysis, entity recognition, text categorization, language detection, text generation, and more.  

Therefore, when selecting an API, several key factors should be taken into consideration: customization and control, complexity of use case, platform compatibility, and integration ease. Some of the prominent NLP APIs are OpenAI GPT, Google Cloud Natural Language API, Google Dialogflow, Amazon Comprehend & Lex, IBM Watson NLU & Assistant, Microsoft Azure Cognitive Services, Wit.ai, spaCy, Algorithmia, and others. 

Key Steps to Developing a Successful Conversational AI Business Model 

Formulating a successful conversational AI business model implies these crucial steps:  

• Defining the niche. Identify a specific domain where conversational AI solutions can provide value. The niche should align with the expertise of the business and cater to a genuine market need.  
• Creating a high-quality product. The product must possess natural communication, complex query understanding, accurate responses, and scalability.  
• Leveraging NLP tools. Integrating NLP enhances the AI’s ability to engage with users intuitively.  
• Integration with existing systems. Seamless integration with established business systems (CRM, ERP, help desk software, etc.) bolsters the AI’s capabilities and elevates the overall customer experience.  
• Developing a go-to-market strategy. This strategy should encompass the following elements: target audience definition, needs and preferences analysis, and marketing plan.  
• Monitoring and optimization. Utilize analytics tools to glean insights from customer inquiries and employ these insights to drive continuous improvements that enhance system performance. 

Conversational AI can enhance lives when used appropriately and aligned with user expectations. Here are a few examples and numbers:  

• Business Process Optimization. Up to 25% cost reduction and 30% productivity growth with record management, task management, auto-scheduling, email filtering, and fast onboarding and training powered by CAI.  
• Enhanced Decision-Making. Up to 95% of information accuracy thanks to easy report generation, advanced analytics, and smart recommendations.  
• Advanced Customer Interactions. Customer satisfaction increases by up to 50% with service/product recommendations, intelligent comparison, and a robust sales funnel.  

Successful implementation demands meticulous planning, experimentation, and continuous monitoring to achieve desired outcomes.  

Are you considering starting to plan and implement conversational AI technologies for your niche? Get started with advanced approaches and industry solutions now. 

More about Conversational AI Business Applications: 

• Conversational AI. The New Era of Human-like Automated Communication. 
• AI Transforming Healthcare Solutions with Conversational Intelligence in Medical Virtual Assistants 
• Chatbot Center of Excellence: Chatbots Turnkey Development 

The post Conversational AI for Business Success: Peer Reviewed Strategy to Build Profitable AI Model [Paper Presentation at ISDIA 2024] appeared first on Intetics.

But! Copilot may not be a one-size-fits-all solution. Different developers have different preferences, workflows, and needs. Recognizing this diversity, let’s explore alternative tools that offer similar code completion features (and more). 

Quick Intro to Useful Alternative Plugins to GitHub Copilot 

We’ll delve into three notable alternatives of GitHub Copilot: Tabnine, AWS Codewhisperer, and Bito.  

Before diving into the distinctive features of each tool, here’s a quick look at what each one brings to the table: 

Tabnine 

Tabnine was an early player in terms of code completion tools, and it provides a practical plugin compatible with your preferred code editor. It offers suggestions for whole lines of code and full-function completions across various languages, libraries, and frameworks. And it does so based on natural-language comments. 

One noteworthy aspect of Tabnine is its efficiency with minimal context compared to Copilot. It suggests code midline as you type, without waiting for one line to be finished before moving to the next.  

For teams and organizations, Tabnine offers the capability to host and train their own AI models. This feature facilitates collaborative autocompletion across IDEs, which enhances teamwork and contributes to code security. 

Beyond code completion, Tabnine tackles unit test support. Using advanced AI, it automatically generates unit tests for your code, a helpful feature for ensuring thorough testing and code stability, especially on larger projects. 

The interface is user-friendly, requiring minimal configuration. As you use it more, Tabnine adapts and tailors unit test suggestions to your coding style.  

AWS CodeWhisperer 

Amazon CodeWhisperer understands natural language comments in English and offers suggestions ranging from snippets to entire functions—up to 10–15 lines—in various IDEs. Similar to Tabnine, CodeWhisperer adapts to your coding style and ensures a personalized coding experience. It also extends its capabilities to the command line with inline documentation and AI-driven natural-language-to-code translation.  

For those leveraging AWS services, CodeWhisperer analyzes code in real time, with suggestions tailored to AWS APIs like Amazon EC2 and AWS Lambda and aligned with best practices for cloud-based projects. 

To ensure responsible coding, the tool introduces a reference tracker for open-source code. This feature flags suggestions resembling public code with detailed annotations for review. The goal here is to actively avoid biases in code suggestions. 

If you’re choosing between AWS CodeWhisperer and Tabnine, consider what you prioritize. Let’s say you value versatility and broad language support across various editors; then Tabnine is your pick. CodeWhisperer, on the other hand, is for those who focus on precision — the tool learns from in-house code and tailors suggestions to an organization’s practices. 

Bito 

Bito allows users to generate code in any language, create comprehensive test cases, and gain insights into selected code snippets with the Explain Code feature. For documentation, Bito offers a Comment Method tool, while the Improve Performance feature provides tips for enhancing code efficiency. Security concerns are addressed through the Check Security function, which lets you inquire about potential issues.  

What sets Bito apart from GitHub Copilot is its integration with Visual Studio Code — it leverages embeddings and a vector database to understand your local codebase. This ensures context-aware suggestions, a distinctive advantage over Copilot. 

Another noteworthy feature is the Generate Unit Test Shortcut:  

The shortcut allows developers to efficiently generate test cases for different code paths and scenarios. This ensures comprehensive testing coverage and reduces the risk of undetected bugs.  

The consistent testing standards promoted by Bito foster collaboration and codebase maintainability within development teams, as all members can adhere to the same testing practices.  

On Ethics for AI Code Completion Plugins in Software Development 

Respecting intellectual property rights and privacy is crucial for ethical software development, fostering trust in the industry.

Developers using code completion tools like Tabnine, Bito, etc. should: 

• ensure that sensitive or confidential data is not intentionally or unintentionally exposed, 
• be mindful not to breach non-disclosure agreements (NDAs), 
• seek explicit consent from clients or stakeholders before employing coding assistant tools in projects involving their codebases. 

On the level of software development organizations, it’s a best practice to regulate AI tools usage in processes. Many responsible engineering companies already create and implement AI tools usage policies for employees on how to be safe and secure when using generative AI, especially when it involves the sharing of potentially sensitive company and customer information. 

Summing Up

The implementation of AI assistants like Tabnine, AWS CodeWhisperer, and Bito has resulted in tangible time savings and enhanced productivity. And we have the numbers to back this up. 

In just two weeks, Tabnine contributed to a nearly 13-hour timesaving for an Intetics engineer. That month, 27% of that engineer’s code was produced by the tool.  

With AWS CodeWhisperer, the official figures claim a 57% acceleration in developer productivity and a 27% increase in the likelihood of project success.  

As for Bito, the subjective experience reveals improvements in speed, particularly in implementing new features. The initial estimate suggested a potential 27% code contribution, but real-world results prove a more conservative productivity boost of 10-20%. Also, Bito offers remarkable efficiency, potentially saving up to 80% of time spent on writing unit tests.  

To wrap it up, embrace the tools that empower you to code better and faster. 

Featured materials: 

• ChatGPT for Software Developers: Better Code, Increased Productivity, and Premier Product Quality [With Examples of Prompts]
• Why GitHub Copilot Is the Ultimate Game-Changer for Software Developers
• AI-Augmented Project Management: 15 Ways to Automate Time-Consuming Tasks with ChatGPT [+12 Other AI Assistants]

The post Alternatives to GitHub Copilot: Tabnine, AWS CodeWhisperer, and Bito to Increase Developers’ Productivity by 20% appeared first on Intetics.