AI Driving 2022 Future Business Trends

AI-Driving-2023-Future-Business-Trends
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Data + AI + Analytics, Machine Learning

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Artificial Intelligence, driving 2022 future business trends

[/custom_heading][share facebook=”true” twitter=”true” linkedin=”true” email=”true” size=”small” id=”” class=”” style=”margin-top: 10px;”][clear by=”15px” id=”” class=””][text]The role of AI in work life and business is undisputed. As we move forward, this role will only expand to include more functionalities and use cases like artificial intelligence, machine learning, and data processing becomes more advanced and efficient. In the past few years alone, we’ve seen AI grow by leaps and bounds and this growth shows no signs of slowing down just yet.

Looking to the future, how will AI impact work and business? It can be hard to predict but as an overview, we can expect the following changes globally:[/text]

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1. Productivity will increase

[/custom_heading][text]One of the biggest advantages of integrating AI into your business is the major boost in productivity that you receive. An efficient and effective AI system can reduce human error, find new solutions to old problems, and help you avoid pitfalls in the future. As the technology behind artificial improves, we can expect this productivity boost to keep getting better. The goal is to reach a stage where less training is needed for your AI model in order to get more things done. This will directly result in enhanced productivity across industries.[/text][clear by=”35px” id=”” class=””]

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2. Consolidation

[/custom_heading][text]Services via companies using the power of Artificial intelligence will have lower operations costs and will be able to scale operations faster and cheaper. That will accelerate consolidation in different industries. Think of the Chrome browser, it’s so ubiquitous in its market that many users forget that other browsers exist.[/text][clear by=”35px” id=”” class=””]

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3. Personalization

[/custom_heading][text]Consolidation can spell doom for smaller companies unless they pivot and adapt. Personalization of products and services should be the focus of small companies to stay competitive and profitable. This means personalization not only at a customer segment level but delving deeper so that each customer becomes a segment unto themselves. For example, personalized medicine is one such opportunity for hyper-personalization.

Integrating AI systems into their businesses models is the only way for small companies to make this shift towards personalization. The strength of a company’s AI capabilities will likely be one of the biggest factors for business success in the future.[/text][clear by=”35px” id=”” class=””]

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4. Less time from ideation to launch

[/custom_heading][text]The current turnaround time for various product development clocks in at about 6 months, from ideation to launch.  This production window varies based on the industry or product. Overall, we can expect a shortening of the time taken to ideate, develop, test, and launch new products and services. Artificial intelligence and machine learning can play vital roles in reducing the development process. Zara is known today for taking less time from idea to launch. But in the future, this duration will be in hours and days and not in weeks or months.  Further along, AI can speed up the testing process and help products launch quicker and with fewer setbacks.[/text][clear by=”40px” id=”” class=””]

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5. Convergence of physical and digital world

[/custom_heading][text]By 2030, about $5.5 trillion to $12.6 trillion of value will be unlocked globally using IoT products and services. Virtual Reality, Mixed Reality, and extended reality are continually challenging customer experience and re-writing the rules. The convergence of the digital and physical worlds is going to be a reality in the future.

AI and machine learning are now a mainstay of the business. As the field grows, it’s still not too late to get in on the action. Adopting AI in your business can help you grow and explore exciting new opportunities. AI can give your company a competitive edge while ensuring that your technological strategy stays updated. Now is a great time to invest in AI and see the wonders it can do for your business.[/text]

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    Changes needed to promote AI Adoption

    To Promote AI Adoption
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    Artificial Intelligence, Data + AI + Analytics

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    Deeper look at change needed to promote AI adoption

    [/custom_heading][share facebook=”true” twitter=”true” linkedin=”true” email=”true” size=”small” id=”” class=”” style=”margin-top: 10px;”][clear by=”15px” id=”” class=””][text]The nature of work and the status quo of business are rapidly changing. To beat the competition, leaders are challenged today to embrace the change required within the company to transform it into an AI-enabled company first with AI Adoption. The rise of Artificial Intelligence, Machine Learning, and automation has changed the way we train labor, how we leverage machines, and how we improve productivity. In these exciting times, no one can afford to be left behind.

    AI is changing the face of business every day. From fully automated customer service to guiding banking decisions, the scope of work undertaken by AI is expanding. Firstly, not every business has been able to harness the power of AI in its processes and goals.[/text]

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    Tapping Into the Power Of AI

    [/custom_heading][text]Truly mobilizing the power of AI requires a huge shift in mindset, company culture, and company processes. Acceptance and understanding of AI among managers and executives is the biggest change and is absolutely necessary for a shift towards an AI-powered future.

    At the leadership level, one of the major roadblocks is taking a plug-and-play approach to AI Adoption. This happens when company leaders rush into their AI implementation and build their systems with a narrower view of their goals. But this isolated, small-scale approach can backfire leading to a failure of company-wide adoption.

    The second roadblock leaders might face is taking a narrow perspective on their AI goals and a lack of understanding of the capabilities that AI has. Leaders first need to analyze their goals, align their company culture and mission to their goals, and work with experts to build AI systems that will stand the test of time.[/text][clear by=”35px” id=”” class=””]

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    What Changes Are Needed For AI Adoption?

    [/custom_heading][text]The first change is always a change in your strategy. Think about what your goals are, what processes you need to change or initiate, and how you can maintain this long-term. Once company leaders lock in this strategy, they can then move towards educating their peers and employees on the pros and cons of AI and machine learning.

    Broadly, these are three changes you will need to consider:[/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

    1. Creating a collaborative work culture

    [/custom_heading][text]AI thrives on data and the best way to create valuable data is to encourage cross-departmental collaboration. This will help you take a broad view of your challenges and goals and avoid the pitfalls of a limited or one-sided perspective. By involving people across different disciplines, you can enrich your insights and help create a more robust AI system. Additionally, it is important that leaders address the fear of failure for a company to embrace innovation.[/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

    2. Shifting to data-driven decision-making

    [/custom_heading][text]This onus falls squarely on company leaders. Gone are the days when we relied on purely leader-driven decision-making. Company leaders must now lead the charge towards data-driven decision-making. Trusting your AI system and augmenting company decisions with data and analytics is an important step in seamless AI adoption.[/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

    3. Accepting a more dynamic, agile workflow

    [/custom_heading][text]AI works best with practice. This means it may not be perfect at first. It takes time to learn and gets better with every iteration. This means companies will have to adjust to a trial-and-error mentality with the resilience to learn from failures.

    Technologically sound, data-driven processes involving skilled people are the future of business. however, don’t rush to adopt AI systems without first analyzing your company, your goals, and your processes. Evaluate each step and analyze generated data, and always consult with experts for guidance.[/text]

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      Insight-driven Organization – Four steps to start your journey

      Insight-driven organization
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      Data + AI + Analytics, Insight driven

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      Insight-driven Organization – Four steps to start your journey

      [/custom_heading][share facebook=”true” twitter=”true” linkedin=”true” email=”true” size=”small” id=”” class=”” style=”margin-top: 10px;”][clear by=”15px” id=”” class=””][text]Data is easily the most valuable commodity on Earth in our time. Every business, big or small, generates massive amounts of data every day. But what use is all this data if we do not put it to work?

      Harnessing your data to provide insights and predictions is the cornerstone of being an insight driven organization. An insight driven organization is one that relies on data analytics to make decisions. Being an insight driven organization means valuing the power of analytics and building teams and processes that nurture data to generate accurate and useful insights.[/text]

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      Why Should You Be an Insight Driven Organisation?

      [/custom_heading][text]Relying solely on human insight and decision-making leaves a lot of room for error. While this approach has served us thus far, it is time to revolutionize how companies makes decisions. Data analytics has grown rapidly in the last decade. By creating an insight driven organization, you can innovate quicker, be more efficient, and differentiate yourself in your chosen market.

      Once successfully implement, an insight driven approach only gets better and better as each cycle of insight or prediction generates data that can be used to further refine your results and chart your course towards a data-first future.[/text][clear by=”35px” id=”” class=””]

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      How Can You Become an Insight Driven Organisation?

      [/custom_heading][text]The shift towards an insight driven organisation does not happen overnight. It requires careful planning and a determination to create an organizational shift in how your company operates. Broadly, consider the following 4 steps to start your journey: [/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

      Step 1: Build a strategy

      [/custom_heading][text]As with most things, your success depends on how you plan and strategize a shift towards being insight driven. Analyse your business, your goals, and your capabilities before embarking on this organizational change. [/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

      Step 2: Acquire data

      [/custom_heading][text]Nobody wants incorrect or inaccurate insights. To avoid this common pitfall, you need to ensure that you collect and organize high-quality, relevant data to feed into your AI system. Data is the life of any successful AI system, so invest time in building data sets that provide a comprehensive view of all data. [/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

      Step 3: Be change agent

      [/custom_heading][text]A change in company culture and standard operating procedures is crucial for a shift towards being an insight driven organization. Let go of a simplistic departmental view of your organization and work towards building a dynamic and integrated workflow that meshes well with the goals of your AI system. [/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

      Step 4: Technology

      [/custom_heading][text]Acquiring data, organizing it, and analysing insights necessitates the use of complex technology. This includes software to collate your data, technology to provide an all-round view of your data, and of course, an AI system to process data and provide you with the insights you need. This is best done by partnering with experts in data science to ensure your systems are secure, trustworthy, and stand the test of time.

      Creating an insight driven organization is a marathon, not a sprint. Remember to pace yourself, take your time, and start small. When in doubt, consult with experts rather than going blindly in the wrong direction. With the right mindset and support, you too can make the leap towards being an insight driven organization. [/text]

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        Ready for HIPAA Compliance?

        HIPAA Compliance
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        Data + AI + Analytics, Data Privacy

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        HIPPA compliance, A must have for Healthtech organization?

        [/custom_heading][share facebook=”true” twitter=”true” linkedin=”true” email=”true” size=”small” id=”” class=”” style=”margin-top: 10px;”][clear by=”15px” id=”” class=””][text]Don’t go online until you’ve fully considered every aspect of what Health Insurance Portability and Accountability Act (HIPAA) really means to your business and your business associates.[/text]

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        What is HIPAA, HITECH, and its Objectives?

        [/custom_heading][text]Health Insurance Portability and Accountability Act (HIPAA), a US federal law, issued in 1996, upholds the data privacy and security of protected health information (PHI) and provides guarantees to patients that their data is handled in a safe and secure way.  

         HIPAA is created to:  

        • Improve the portability and accountability of health insurance coverage for employees between jobs  
        • Combat fraud and abuse in health insurance and healthcare delivery  
        • Promote the use of medical savings accounts by introducing tax breaks, provides coverage for employees with pre-existing medical conditions  
        • Simplify the administration of health insurance  

         

        Health Information Technology for Economic and Clinical Health Act (HITECH Act), issued in 2009, promotes and expands the adoption of health information technology, specifically, the use of electronically protected health information (ePHI) by healthcare providers and tightens HIPAA compliance.  

         HITECH is created as an extension to HIPAA to cover:  

        • Improvement of healthcare quality, safety, and efficiency  
        • Application and use of health information technology standards and reports  
        • Testing of health information technology  
        • Grants and loans funding  
        • Privacy and security of electronic health information  
        • Revisions to permitted uses and disclosures of PHI  
        • Business associates are prevented from using ePHI for marketing purposes without authorization  
        • Patients are given the right to change/revoke any authorizations they had previously given  
        • Requirements for accounting for disclosures of PHI  
        • Maintaining records of disclosures including to whom PHI had been disclosed and for what purpose.  

         

        The HIPAA Final Omnibus Rule of 2013 expands regulations for privacy, requirements for breach notifications, business associate liabilities, and business associate agreements. This rule mandates business associates of covered entities also subject to HIPAA compliance and audits.[/text][clear by=”35px” id=”” class=””]

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        For which businesses HIPAA and HITECH Acts are applicable?

        [/custom_heading][text]It is applicable to practically all health plans, health care clearing houses, health care providers and endorsed sponsors of the medical care prescription drug discount card. These entities, directly create., maintain, and use PHI on a regular basis, are referred to as “HIPAA Covered Entities” under the Act.

        “Business Associates” of “Covered Entities” are also covered by HIPAA. Business Associates entities provide third party services during which they will encounter PHI. Prior to undertaking a service on behalf of a Covered Entity, a Business Associate must sign a Business Associate Agreement guaranteeing security and privacy of any PHI to which it has access.

        As health care providers are now required by law to give patients a Notice of their Privacy Policy, it will be necessary to explain HIPAA and Privacy Policy to patients as they must sign a copy of the policy to say they have received it.

        It is not applicable to entities dealing neither with patients’ personal data nor patients’ health information.[/text][clear by=”35px” id=”” class=””]

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        What happens in case of HIPAA violations?

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        • The HIPAA regulations are enforced by the U.S. Department of Health & Human Services´ Office for Civil Rights, while state Attorney Generals can also act against parties discovered not to be compliant with HIPAA.  
        • The Office for Civil Rights has the authority to impose fines on Covered Entities and Business Associates for violations of HIPAA and data breaches unless the offending party can demonstrate a low probability that health information has been compromised.  
        • Civil and criminal penalties could be issued directly to business associates for the failure to comply with HIPAA Rules regardless of whether a data breach had occurred or not.  
        • Penalties of HIPAA violations, in 4 levels of negligence, range from USD 100 to USD 50,000 per violation and maximum of USD 1.5 million per year of violation of identical type.  
        • Restitution may also need to be paid to the victims.  
        • In addition to the financial penalty, imprisonment is likely for a criminal violation of HIPAA Rules.  

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        Benefits of HIPAA and HITECH

        [/custom_heading][text]While the initial cost of investment in the necessary technical, physical, and administrative safeguards to secure patient data may be high, the improvements can result in cost savings and higher revenue over time because of improved efficiency.

        Since healthcare organization employees’ workflows are streamlined, and the workforce has become more productive, healthcare organizations can reinvest their savings and deliver a higher standard of healthcare to patients. [/text][clear by=”35px” id=”” class=””]

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        Challenges to Implement HIPAA + HITECH 

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        • The technologists are often unaware of the expectations of these Acts of Law
        • Initial high investment of securing data/information
        • Shorter time-to-market may overlook requirements of the Act

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        B2B perspective for sharing data 

        [/custom_heading][text]Data Protection Agreements for guarantees of security and privacy of PHI need to be established prior to sharing of PHI among covered entities and their business associates

        Technology controls need to be established to managed to prevent and detect any loss of data privacy and security by covered entities and their business associates[/text][clear by=”35px” id=”” class=””]

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