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REDDING, Calif., March 29, 2022 /PRNewswire/ -- According to a new market research report titled, "Artificial Intelligence in Cybersecurity Marketby Technology (ML, NLP), Security (Endpoint, Cloud, Network), Application (DLP, UTM, IAM, Antivirus, IDP), Industry (Retail, Government, BFSI, IT, Healthcare), and Geography Global Forecasts to 2029,"the artificial intelligence in cybersecurity market is expected to grow at a CAGR of 24.2% during the forecast period to reach $66.22 billion by 2029.

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The increasing demand for advanced cybersecurity solutions and privacy, the growing significance of AI-based cybersecurity solutions in the banking sector, and the rising frequency and complexity of cyber threats are the key factors driving the growth of the artificial intelligence in cybersecurity market. In addition, the growing need for AI-based cybersecurity solutions among small and medium-sized enterprises (SMEs) are creating new growth opportunities for vendors in the AI in cybersecurity market.

However, the lack of skilled AI professionals, the perception of AI in cybersecurity as an uncomprehensive security solution, and the impacts of the COVID-19 pandemic are expected to restrain the growth of this market to a notable extent.

Impact of COVID-19 on Artificial Intelligence in CybersecurityMarket

The outbreak of the COVID-19 pandemic severely affected numerous businesses across the globe. Several organizations started adopting a work-from-home mode of operation. Reliance on remote access systems made organizations more vulnerable to DDOS and phishing attacks. The excess internet usage during the COVID-19 pandemic increased the number of data thefts, ransomware attacks, and data breaches across organizations. The COVID-19 outbreak forced medical-treatment units to utilize remote-care devices that lack proper protection against cyberattacks, thereby giving opportunities to perpetrate attacks. Thus, several organizations started focusing on advanced technologies in cybersecurity, such as artificial intelligence, machine learning, and big data, for protection against such threats.

According to HIPAA Journal, the INTERPOL issued an alert to hospitals over ongoing ransomware attacks during the COVID-19 pandemic and issued a 'Purple Notice' alerting police forces in all 194 member countries. According to Cyber Intelligence Centre, in 2020, there was a spike of phishing attacks, malspams, and ransomware attacks as attackers started using COVID-19 as bait to personate brands and mislead customers and employees. Organizations started focusing on monitoring emails and active directories for anomalous logins, reviewing tactical actions, and implementing key security controls. Many leading players started improving their cyber risk management measures strategizing accordingly by ensuring that their remote access systems were sufficiently resilient to withstand cyber threats. Artificial intelligence in cybersecurity will play a significant role in the safety and security of organizations from cyber threats. The impacts of the COVID-19 pandemic have resulted in industry verticals focusing on reducing reliance on human resources and maximizing the use of processes and advanced technologies to perform cybersecurity activities. The positive impacts will be perceptible, encouraging the growth of AI in cybersecurity market during the forecast period.

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Several organizations are eying this crisis as a new opportunity for restructuring and revisiting their existing strategies along with advanced product portfolios.For instance, in 2021, IBM Corporation (U.S.) announced new and enhanced services of IBM Security Services designed to help organizations manage their cloud security strategy, policies, and controls across hybrid cloud environments. In 2021, FireEye, Inc. introduced FireEye XDR, a unified platform designed to help security operations teams strengthen threat detection, accelerate response capabilities, and simplify investigations. These developments are showing a positivesign for the growth of cybersecurity, consequently expected to boost the demand for artificial intelligence in cybersecurity market in the coming years.

In addition, favorable government policy & initiatives, including financial packages for businesses and ease in taxes, the increasing demand for advanced cybersecurity solutions in the healthcare sector, and the increasing investments in advanced technologies are expected to contribute to the growth of artificial intelligence in cybersecurity market.

Also, the ongoing tensions between Russia and Ukraine have increased digital skirmishes. This ongoing conflict may impact global diplomacy, markets, and other aspects by escalating into cyberwarfare with significant monetary damages, as seen with the global NotPetya cyberattack and wiper virus cyberattack.

Artificial Intelligence in Cybersecurity Market Overview

The artificial intelligence in cybersecurity market is segmented based on components (hardware, software, services), technology (machine learning, natural language processing, context-aware computing), security (application security, endpoint security, cloud security, network security), application (data loss prevention, unified threat management, encryption, identity & access management, risk & compliance management, antivirus/antimalware, intrusion detection/prevention system, distributed denial of service mitigation, security information & event management, threat intelligence, fraud detection), deployment (on-premises, cloud-based), industry vertical (retail, government & defense, automotive & transportation, BFSI, manufacturing, infrastructure, IT & telecommunication, healthcare, aerospace, education, energy), and geography. The study also evaluates industry competitors and analyses the market at the country level.

Based on component, the AI in cybersecurity market is segmented into software, hardware, and services. In 2022, the software segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market. The larger share and highest CAGR of this segment is primarily driven by the growing data security concerns, the increase in demand for AI platforms solutions for security operations, and the surge in demand for robust and cost-effective security solutions among business enterprises to strengthen their cybersecurity infrastructure.

Based on technology, the overall AI in cybersecurity market is segmented into machine learning, natural language processing (NLP), and context-aware computing. In 2022, the machine learning technology segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market.The large share and highest CAGR of this segment is primarily attributed to its advanced ability to collect, process, and handle big data from different sources that offer rapid analysis and prediction. It also helps analyze user behavior and learnfrom them to help prevent attacks and respond to changing behavior. In addition, it helps find threats and respond to active attacks in real-time, reduces the amount of time spent on routine tasks, and enables organizations to use their resources more strategically, further supporting the growth of the machine learning technology market in the coming years.

Based on security, the AI in cybersecurity market is segmented into network security, cloud security, endpoint security, and application security. In 2022, the network security segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market.The large share of this segment is mainly attributed to the adoption of the Bring Your Own Device (BYOD) trend, the increasing number of APTs, malware, and phishing attacks, the increasing need for secure data transmission, the growing demand for network security solutions, and rising privacy concerns. However, the cloud security segment is slated to register the highest CAGR during the forecast period due to the increased adoption of Internet of Things (IoT) devices, surge in the deployment of cloud solutions, the emergence of remote work and collaboration, and the increasing demand for robust and cost-effective security services.

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Based on application, this market is segmented into data loss prevention, unified threat management, encryption, identity & access management, risk & compliance management, intrusion detection/prevention system, antivirus/antimalware, distributed denial of service (DDoS) mitigation, Security Information and event management (SIEM), threat intelligence, and fraud detection. In 2022, the identity and access management segment is estimated to account for the largest share of the artificial intelligence in cybersecurity market. The large share of this segment is attributed to the increase in security concerns among organizations, the increasing number and complexity of cyber-attacks, the growing need for integrity & safety of confidential information in industry verticals, and the growing emphasis on compliance management. However, the data loss prevention segment is slated to register the highest CAGR during the forecast period due to the increasing regulatory and compliance requirements and the growing need to address data-related threats, including the risks of accidental data loss and exposure of sensitive data in organizations.

Based on industry vertical, the AI in cybersecurity market is segmented into government & defense, retail, manufacturing, banking, financial services, and insurance (BFSI), automotive & transportation, healthcare, IT & telecommunication, aerospace, education, and energy. In 2022, the IT & telecommunication sector is estimated to account for the largest share of the overall AI in cybersecurity market. The large share of this segment is mainly attributed to increasing incidence of security breaches by cybercriminal, shifting preference from traditional business models to sophisticated technologies, and including IoT devices, 5G, and cloud computing.However, the healthcare sector is slated to register the highest CAGR during the forecast period due to the rising sophistication levels of cyber-attacks, the growing incorporation of advanced cybersecurity solutions, the exponential rise in healthcare data breaches, and the growing adoption of IoT & connected devices across the healthcare sector.

Based on deployment, the market is segmented into on-premises and cloud-based. In 2022, the on-premises segment is estimated to account for the largest share of the artificial intelligence in cybersecurity market. The large share of this segment is attributed to the increasing necessity for enhancing the internal processes & systems, security issues related to cloud-based deployments, and the rising demand for advanced security application software among industry verticals. However, the cloud-based segment is slated to register the highest CAGR during the forecast period due to the increasing number of large enterprises using cloud platforms for data repositories and the growing demand to reduce the capital investment required to implement cybersecurity solutions. In addition, several organizations are moving operations to the cloud, leading cybersecurity vendors to develop cloud-based solutions.

Based on geography, in 2022, North America is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market. The large market share of North America is attributed to the presence of major players along with several emerging startups in the region, the increase in government initiatives towards advanced technologies, such as artificial intelligence, the proliferation of cloud-based solutions, the increasing sophistication in cyber-attacks, and the emergence of disruptive digital technologies. However, Asia-Pacific is expected to register the highest CAGR during the forecast period. Factors such as the rising number of connected devices, the increasing privacy & security concerns, the growing awareness regarding cybersecurity among organizations, rapid economic development, high adoption of advanced technologies, such as IoT, 5G technology, and cloud computing are contributing to the growth of this market in Asia-Pacific.

The global artificial intelligence in cybersecurity market is fragmented in nature. The major players operating in this market are Amazon Web Services, Inc. (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), FireEye, Inc. (U.S.), Palo Alto Networks, Inc. (U.S.), Juniper Networks, Inc. (U.S.), Fortinet, Inc. (U.S.), Cisco Systems, Inc. (U.S.), Micron Technology, Inc. (U.S.), Check Point Software Technologies Ltd. (U.S.), Imperva (U.S.), McAfee LLC (U.S.), LogRhythm, Inc. (U.S.), Sophos Ltd. (U.S.), NortonLifeLock Inc. (U.S.), and Crowdstrike Holdings, Inc. (U.S.)among others.

Browse in-depth TOC on"Artificial Intelligence In Cybersecurity Market - Global Opportunity Analysis And Industry Forecast (2022-2029)"380 Tables43 Figures441 Pagesclick here:https://www.meticulousresearch.com/product/artificial-intelligence-in-cybersecurity-market-5101

Scope of the Report:

AI in Cybersecurity Market by Component

AI in Cybersecurity Market by Technology

AI in Cybersecurity Market by Security Type

AI in Cybersecurity Market by Application

AI in Cybersecurity Market by Deployment Type

AI in Cybersecurity Market by Industry Vertical

AI in Cybersecurity Market by Geography:

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The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.

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Artificial Intelligence in Cybersecurity Market Worth $66.22 billion by 2029 -- Exclusive Report by Meticulous Research - PR Newswire

Digital Life bank and AI institute have teamed up to advance artificial intelligence (AI) and machine language technology using open-source technology.

Digital Life Bank has been collaborating since 2020 on a project that is meant to make a key component of AI, known as hyperparameter optimization, more accessible. Hyperparameter optimization is a method of tuning a set of rules used to control the machine learning process. The partnership would improve machine learning model performances and pinpoint within the black box of AI where models need work.

The Vice president of Digital Life bank stated that "Hyperparameter optimization plays an important role in the scientific progress of AI, both as an enabler to reach the best performances achievable by new algorithms, and as a foundation for a rigorous measure of progress, providing a principled common ground to compare algorithms. Hyperparameter optimization and its subfield of neural architecture search are additionally a key solution for the deployment of energy-efficient AI technologies, a problem currently posed by the trend of increasing computational cost of deep learning models.

The collaboration with the AI institute aims to advance AI hardware, software and algorithms related to deep learning and other areas, increase AIs impact on industries, such as cybersecurity, and explore the economic and ethical implications of AI on society. Digital Life Bank is committed to leading the market with new innovation and superior customer experiences.

CO-CEO of the AI Institute stated that " Our company was founded to help organisations harness the power of artificial intelligence, and we are excited to join Digital Life Bank and help them build for the future."

The partnership will focus more on two particular areas such as:

CEO of Digital Life Bank stated that "the collaboration will be of good help to the bank and Anticipating and meeting customer needs are at the heart of our promise, and we are excited to further accelerate our innovation agenda to deliver well into the future. As we deploy new solutions, we will extend our deep relationship with customers across all of our platforms and offer personalised, connected and legendary experiences for our customers in the digital age."

He additionally stated that "Artificial Intelligence has the potential to power a new generation of data-driven applications from personalised and real-time advice to predictive analytics that will shape the future of digital banking for millions of individuals."

Presently the adoption of AI is increasing and as it increases across all business sectors, more industry leaders are discovering the value that data and machine learning models can provide during a time of accelerated digital innovation and transformation. To succeed in business today, faster times to create accurate models are essential to driving value from time to market.

The Vice President of Digital Life Bank additionally stated that " Collaborating with AI institute at, were improving open-source technology to the benefit of all researchers and data scientists while advancing the capabilities of Machine Learning Accelerator. This provides even greater value through our end-to-end client solutions and advances Digital Life Bank's commitment to both the consumption of and contribution to open-source technology.

The Digital Life Bank and AI Institute collaboration aims to improve the development, deployment, and ongoing management of complex AI and deep learning models, as well as to make tools more accessible to a larger base of scientists, engineers, and developers through automation. Additional AI-focused projects are also underway between AI Institutes researchers and Digital Life Bank.

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Digital life bank and AI Institute Announce Collaboration to Advance Artificial Intelligence and Machine Learning Technology - LA Progressive

Dublin, March 28, 2022 (GLOBE NEWSWIRE) -- The "Personal Artificial Intelligence and Robotics Market by AI and Robot Type, Components, Devices and Solutions 2022 - 2027" report has been added to ResearchAndMarkets.com's offering.

This report evaluates the market for personalized robots, bot software, and systems. The report also assesses the impact of AI and evaluates the market for AI-enhanced robots and robotic systems for the consumer market. It includes analysis and forecasts for personalized AI and robotics from 2022 through 2027.

There is an emerging service robot market that has very different dynamics than traditional industrial robotics. Service robots are very personal and include both physical robots as well as logical (e.g. software) bots that act on behalf of their owners, managers, and/or controllers. Service robots will ultimately evolve beyond purpose-built machines to become more general-purpose tools for supporting human safety and lifestyle needs.

While Asia is the predominant market today, we see the United States as a high growth market as the USA has grossly underinvested in the personal healthcare infrastructure market. Largely depending upon informal family support, personalized care represents an industry that is sustained by poorly paid workers - largely immigrants and women of color. This is poised to change with carebots, programmed to oversee the care for the elderly and/or those with healthcare issues that require constant attention.

We see substantial overall industry growth across a wide range of robot types that engage in diverse tasks such as home cleaning, personalized healthcare service, home security, autonomous cars, robotic entertainment and toys, carebots services, managing daily schedules, and many more assistive tasks. Furthermore, we see a few key factors such as the aging population, personalization services trends, and robot mobility will drive growth in this industry segment.

In addition, developments in artificial intelligence and cognitive computing support the inclusion of these technologies with virtually every type of robot including general-purpose bots that act on behalf of their owner. The combination of AI and IoT (AIoT) will further support market development, leading to semi-autonomous markets that interact with humans directly as well as other machines, and assets through interconnected systems.

Select Report Findings:

Key Topics Covered:

1 Executive Summary

2 Introduction2.1 Overall AI and Robotics Market2.2 Personal AI and Robotics Market2.3 Development of Autonomous Agents and Care Bots2.4 AI Technology and Deep Learning Hacks2.5 Contextual Awareness and Intelligent Decision Support Systems2.6 Aging Population, Mass Digitization, and Human-Robotics Interaction Accelerates Growth2.7 Evolution of Personal Assistants and Smart Advisory Services2.8 Price Declines Drive Adoption for Low-Cost Robotics2.9 Open Software Platforms Accelerate Growth but Raises Ethical Concerns2.10 Technical Complexity and Lack of Skilled Robot Designer May Hinder Growth

3 Cloud Robotics to Drive Democratization and Expanded Usage3.1 Enabling Technologies3.1.1 Fifth Generation Cellular3.1.2 Teleoperation3.1.3 Cloud Computing3.1.4 Edge Computing3.2 Market Opportunities

4 Personal AI and Robotics Market, Application, and Ecosystem Impact4.1 Market Segmentation and Application Scenario4.1.1 Personal Robots and Robotics Components4.1.2 Digital Personal Assistant Services4.1.3 AI-Based System and Analytics4.2 Economic Impact including Job Market4.3 Investment Trends in Robotics and AI Systems4.4 Robotics Patents a Key Area to Watch

5 Personal AI and Robotics Market Drivers and Challenges5.1 Personal AI and Robotics Market Dynamics5.2 Personal AI and Robotics Market Drivers5.3 Personal AI and Robotics Market Challenges

6 Personal AI and Robot Market Outlook and Forecasts 2022 - 20276.1 Aggregate Global Market Forecast 2022 - 20276.2 Personal Robot Market Forecast 2022 - 20276.3 Digital Personal Assistant Market Forecast 2022 - 20276.4 Personal AI-Based Solution Market Forecast 2022 - 2027

7 AI and Robotics Company Analysis7.1 Assessment of Select Market Leaders7.2 Honda Motor Co. Ltd.7.3 Samsung Electronics Co Ltd.7.4 iRobot Corporation7.5 Sony Corporation7.6 F&P Robotics AG7.7 ZMP INC.7.8 Segway Inc.7.9 Neato Robotics, Inc.7.10 Ecovacs Robotics, Inc.7.11 Hasbro, Inc.7.12 Parrot SA7.13 Geckosystems Intl. Corp.7.14 Hoaloha Robotics7.15 Lego Education7.16 Sharp Corporation7.17 Toyota Motor Corporation7.18 WowWee Group Limited7.19 Lely Group7.20 Intel Corporation7.21 AsusTek Computer Inc.7.22 Amazon.com, Inc7.23 RealDoll7.24 True Companion7.25 Robotbase7.26 Dongbu Group7.27 Softbank Robotics7.28 Buddy7.29 Jibo7.30 NTT DoCoMo7.31 Rokid7.32 MJI Robotics7.33 Cubic7.34 5 Elements Robotics7.35 Branto7.36 Aido7.37 Vinclu Gatebox7.38 Future Robot7.39 Apple Inc.7.40 Artificial Solutions7.41 Clara Labs7.42 Google7.43 Microsoft Corporation7.44 Speaktoit Inc.7.45 Facebook7.46 SK Telecom Co, Ltd.7.47 motion.ai7.48 Indigo7.49 24me7.50 Wunderlist7.51 Hound7.52 Mycroft7.53 Ubi7.54 EasilyDo7.55 Evi7.56 Operator7.57 Charlie7.58 Alfred7.59 x.ai7.60 AIVC7.61 EVA7.62 NVidia7.63 Tesla Motors7.64 Baidu7.65 SparkCognition

8 Personal AI and Robot Use Cases8.1 Cleaning Robots8.2 Entertainment Robots8.3 Home Security and Surveillance8.4 Wheel-powered Robot8.5 PARO, Advanced interactive Robot8.6 Vortex, a Programmable Robot8.7 ROBEAR, Nursing Care Robot8.8 AV1, A Small Telepresence Robot

9 Conclusions and Recommendations9.1 Recommendations to Robotics Makers9.2 Recommendations to Investors9.3 Recommendations for AI Companies9.4 Recommendations for Equipment Manufacturers9.5 Future of Personal AI

For more information about this report visit https://www.researchandmarkets.com/r/vplny7

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Global Personal Artificial Intelligence and Robotics Markets, 2022-2027: Leading Solutions for Personalized AI and Robotics are Safety, Information,...

Cloud-based, end-to-end trial balance solution uses Artificial Intelligence and Machine Learning to drive firm efficiency by eliminating the manual process of grouping accounts when ingesting trial balances

NEW YORK, March 29, 2022--(BUSINESS WIRE)--Today, Wolters Kluwer Tax & Accounting announced that its cloud-based CCH Axcess Financial Prep expert solution for tax & accounting professionals was named a winner in the Artificial Intelligence Excellence Awards program presented by the Business Intelligence Group.

CCH Axcess Financial Prep is cloud-based and uses advanced Artificial Intelligence (AI) and Machine Learning technologies to eliminate the manual process of grouping accounts when preparing business tax returns. This dynamic, end-to-end trial balance solution leverages data residing in a common cloud database to enable multiple staff to work simultaneously within the same engagement. Once users upload client trial balance data into CCH Axcess Financial Prep, tax balances are instantly produced, tax codes are intelligently grouped, and tax reports are automatically created. Users can make necessary adjustments based on their professional judgment before sending balances to the business tax return in CCH Axcess Tax.

"We are thrilled to see the Business Intelligence Group recognize this innovative expert solution with their prestigious inaugural awards program," said Colleen Knuff, Vice President of Audit Product Management at Wolters Kluwer Tax and Accounting North America. "As tax and accounting firms continue their digital transformation journey, they see clear benefits of this end-to-end trial balance solution as it enables their staff to be more accurate, efficient, and productive for their business clients. Our customers indicate that this solution can save them as much as 60 minutes per return."

"We are so proud to name Wolters Kluwer Tax & Accounting as a winner in our inaugural Artificial Intelligence Excellence Awards program", said Maria Jimenez, chief nominations officer for Business Intelligence Group. "It was clear to our judges that the CCH Axcess Financial Prep expert solution was using AI to improve the lives of customers and their employees. Congratulations to the entire team!"

Story continues

About Business Intelligence GroupThe Business Intelligence Group was founded with the mission of recognizing true talent and superior performance in the business world. Unlike other industry award programs, these programs are judged by business executives having experience and knowledge. The organizations proprietary and unique scoring system selectively measures performance across multiple business domains and then rewards those companies whose achievements stand above those of their peers.

About Wolters KluwerWolters Kluwer (WKL) is a global leader in professional information, software solutions, and services for the healthcare; tax and accounting; governance, risk and compliance; and legal and regulatory sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with advanced technology and services.

Wolters Kluwer reported 2021 annual revenues of 4.8 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs approximately 19,800 people worldwide. The company is headquartered in Alphen aan den Rijn, the Netherlands.

Wolters Kluwer shares are listed on Euronext Amsterdam (WKL) and are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt (ADR) program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).

For more information, visit http://www.wolterskluwer.com, follow us on Twitter, Facebook, LinkedIn, and YouTube.

View source version on businesswire.com: https://www.businesswire.com/news/home/20220329005105/en/

Contacts

MARISA WESTCOTTWolters Kluwer Tax & Accounting212-771-0853marisa.westcott@wolterskluwer.com

MARIA JIMENEZBusiness Intelligence Group+1 909-529-2737jmaria@bintelligence.com

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Wolters Kluwer Tax & Accounting adds the 2022 Artificial Intelligence Excellence Award its list of prestigious recognitions for the CCH Axcess...

The time-management tool, through machine learning, understands how people like to work and when ... [+] they're most productive. The intuitive product creates blocks of uninterrupted focus time.

Humans all have their own biorhythms. Some people like getting up early to win the day and immediately start working. Others hit their stride after a few cups of coffee or are night owls, doing their best production when it's peaceful and quiet.

The challenge is that most people dont know your work style. This leads to co-workers, clients, customers and managers encroaching on times that dont work well for you. Youre put in the uncomfortable position of either accepting a meeting at a time thats annoyingly inconvenient or having to deftly excuse yourself from the request.

Weve all been there. You are in the flow and getting things done. Then, you are hit up with a barrage of interruptions. It's hard to get back to where you were. This daily nuisance is a colossal waste of time and energyand time is the most precious resource. People can always make more money, but they cannot create more time, as it's finite. Unfortunately, it's taken for granted, as if it will last forever.

Clockwise, a time-productivity platform, found a solution to intelligently guarding and managing your workflow. The company is introducing Links, a new and smart scheduling product that changes the way people work and collaborate. Artificial intelligence learns the times that are most convenient for you to interact with people and will block out space on your calendar letting peopleboth within and outside of the organizationknow when you would be available to chat. Conversely, inconvenient times could be blocked out to avoid being roped into a time that is usually reserved for other pressing matters.

The time-management tool, through machine learning, understands how people like to work and when they're most productive. The intuitive product creates blocks of uninterrupted focus time, which, according to CEO and cofounder Matt Martin, is defined as about two hours of uninterrupted productivity that minimizes interruptions and allows you to do your best work the way you want. It also turns preferences into schedules that help people enhance their productivity. With AI, meetings can be arranged to maximize efficient times and fix any conflicts.

Martin points out that employees tend to multitask and send emails in 30% of their meetings. Unnecessary meetings oftentimes conflict with actually getting assignments completed. Absent a sufficient amount of focus time, employees have to prepare for one meeting while stuck in another. This leads to unproductive behaviors, which drag everyone down.

A Links user simply sets their calendar preferences and sends a generated link to their internal or external contacts. Clockwise then takes care of everything. The platform ranks around 10 considerable factors and selects the best times for the invitee to schedule. This results in a time that suits both parties, as the platform automatically syncs across the users calendars instantly. The goal is to obtain the best times to meet without worrying about interruptions.

The tool is perfect for the fast-growing business trends, including the four-day workweek, remote, hybrid, flexible and digital nomad work models. With these work styles, it's imperative to focus on productivity. Additionally, post-pandemic, leadership is concerned about the mental health and emotional well-being of their team members. Constantly being interrupted by people encroaching upon your time makes matters worse, as there is no respite for time bandits.

Martin said about Links, The modern workday is broken, in large part because of the way we schedule meetings. To prevent burnout and improve productivity, we need to be more intentional about the way we spend our time. At Clockwise, we are on a mission to do what calendars cannotmake time for people. Clockwise Links brings a new level of thoughtfulness to scheduling that hasnt existed before, preserving and protecting employees focus time, so they can finally get some meaningful work done.

More than 10,000 organizations use Clockwise, including Netflix, Twitter, Atlassian, Shopify and Asana, to make time for what matters.

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Instead Of Being Interrupted By Inopportune Meeting Requests That Ruin Your Flow, Clockwise Offers Artificial Intelligence To Block Out Focus Time To...