#5 Ways AI Transforms Decision-Making for CEOs: Key Benefits AI Boosts Decision-Making
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Why CEOs Are Turning to AI: 5 Decision-Making Benefits You Can't Ignore

In today’s rapidly evolving business world, staying ahead of the competition requires more than just intuition—it requires intelligence, foresight, and the ability to make decisions with precision. This is where Artificial Intelligence (AI) comes into play, transforming the way CEOs lead their organizations.
Artificial Intelligence (AI) is becoming an essential tool for CEOs who seek to enhance their decision-making processes. By utilizing AI’s predictive analytics, leaders can forecast market trends and identify opportunities before they fully emerge. AI’s ability to process and analyze vast amounts of data allows CEOs to make decisions that are both proactive and strategic, positioning their companies to capitalize on emerging trends and stay ahead of competitors. This forward-looking approach is critical in today’s dynamic market environment, where timing can be everything.
Beyond predictions, AI also optimizes operational efficiency by automating routine tasks and streamlining complex processes. This not only reduces operational costs but also improves overall productivity, enabling companies to achieve more with fewer resources. AI’s capacity to identify inefficiencies and optimize workflows allows CEOs to focus on high-impact areas that drive growth and innovation. Moreover, AI eliminates the biases that can cloud human judgment, ensuring that decisions are based on accurate data and objective insights. This leads to more reliable outcomes and reduces the risk of costly mistakes.
Furthermore, AI provides CEOs with unparalleled insights into customer behavior, enabling them to create highly personalized experiences that resonate with their audience. By analyzing customer data across various touchpoints, AI uncovers trends and preferences that inform product development, marketing strategies, and customer service approaches. This deep understanding of customer needs fosters loyalty and drives revenue growth. In a world where customer-centricity is key to success, AI’s ability to deliver personalization at scale is a significant competitive advantage.
For companies looking to integrate AI into their decision-making processes, Intelisync offers the expertise and technology needed to make it happen. With tailored AI solutions designed to meet your unique business needs, Intelisync ensures that your decisions are backed by the most advanced tools and insights available. Ready to take your decision-making to the next level? Discover how Intelisync can help you harness the full potential of AI and lead your organization into Learn more....
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7 TECHNOLOGIES THAT WILL BLOOM IN 2020
Isn’t it fascinating how technology is influencing the various sectors of the market? Ever since the advent of digitalization, the fundamentals of industries began to change for the better. One of the main reasons behind the drastic changes in the operation of industries is user needs and competitiveness.
To sustain in today’s competitive marketplace, it has become quintessential for every industry to utilize innovative technologies that make their solution more powerful. Even big companies like Facebook, Amazon and Google are investing valiantly in the latest technological trends like Blockchain technology, Big Data and AI for enhancing the user experience.
It is visible that technology is not changing but transforming at a great pace. There are exponential innovations in the world of business. It is estimated that over 1 billion people will use AR/VR in the year 2021 and IoT could be worth $20 trillion in the coming years. This makes it clear that universal digital transformation is not far away.
Here is a closer look at the technology trends that will bring considerable innovation the next year and in the coming decade.
1) Artificial Intelligence:
Artificial Intelligence or AI has already created a lot of buzz in the past few years, and it will surely be a trend to watch as its effects on our day-to-day life are still in the early stages. Machine Intelligence or Artificial Intelligence is a modern approach, which can be defined as the simulation of human intelligence processes by a computer system. These processes include the acquisition of information and rules for using the information system, reasoning i.e. using rules to reach approximate conclusions and self-correction.
Presently, AI services are being used in navigation apps, smartphone personal assistants, streaming services, ride-sharing apps, home personal assistants, smart home devices, in one or the other way. In addition to consumer use, AI is used to assess business risk, predict maintenance, schedule trains and improve energy efficiency.
In a recent survey, McKinsey has stated that AI adoption could increase the global GDP by as much as $13 trillion by 2030. Moreover, AI is predicted to create 23 million job opportunities by the end of the year 2020. Job opportunities are likely to be created in the field of development, programming, testing, support and maintenance, to name a few. And, in the next decade, we are sure to witness AIs that don’t require any human intervention to grow smarter.
Artificial Intelligence-Direct & Enabled Revenue-2014 to 2025 (USD Million)
Image Credit: Grand View Research
2) Mobile Commerce:
Mobile Commerce is now emerging from big brands to startups. In fact, everyone around the globe is embracing Mobile Commerce. Ever since the launch of smartphones, mobile commerce has become a crucial part of personal and professional lives. Simply put M-commerce entails the e-commerce transactions done using the mobile phone. Mobile commerce utilizes e-commerce background and WAP technology. Wireless technology (WAP) is utilized to conduct sales of goods, make payments, provide services and perform other financial transactions.

Reasons why Mobile Commerce is Rising at Rapid Rate
Image Source: Peerbits
With over 80% of internet users owning a smartphone, retail m-commerce sales are expected to increase from 74.8% to 85.5% until 2025. Mobile commerce is expected to outpace non-mobile commerce in 2021. Undoubtedly, m-commerce is the rising star of the e-commerce world, however, there are few more innovations in the e-commerce industry, which will make the e-commerce industry more sustainable.
By understanding m-commerce and keeping tabs on where it’s going, business owners put themselves in the best position to take advantage of what all m-commerce has to offer.
3) 5G Mobile Network:
5G technology was the talk of CES this year and by the start of the year 2020, 5G will be the driving factor in wireless technology. It will benefit users with features like lower latency, higher capacities and for sure faster internet speed. With 5G, automation and technological advancements in cities and remote areas will certainly expand.
Along with the 5G mobile network, there will be development and implementation of WiFi 6. These technologies will make the operation of driverless-cars easy by offering real-time data. Moreover, the 5G system is going to offer facilities like drones for home delivery.
It is expected that 5G can cover up to 65 percent of the world’s population in 2024. According to the recent stats, 5G subscriptions for enhanced mobile broadband could increase to 1.9 billion by the end of 2024. In India, 5G subscriptions are expected to become available in 2022 and could rise. In US, service providers have already launched commercial 5G services, both for mobile and fixed wireless access. By the end of 2024, 5G subscriptions are expected to rise to 270 million, which will account for more than 60% of mobile subscriptions.

Here are the improvements that 5G will bring
Image Source: Digital Trends
4) Robotic Process Automation or RPA:
Like Machine Learning and AI, Robotic Process Automation is another technology that is automating jobs. RPA is the use of software to automate business processes such as interpreting applications, dealing with data, processing transactions and even replying to emails.

Features of Robotic Process Automation
Image Source: Digitals Fren
Robotic Process Automation automates the repetitive tasks that people used to do. Not only the menial tasks of the low-paid worker but the work of doctors, financial managers and CEOs can be automated using RPA. Although researchers estimate that RPA poses the risk to the livelihood of 9 percent of the global workplace. There are chances that RPA might create new jobs while altering existing jobs.
Rapid growth in the e-commerce industry is a crucial factor that adds to the growth of the Robotic Process Automation market. Online sales in the USA are expected to double by 2025 and are likely to contribute to 30-35% of the overall retail sector.
For IT professionals who want to remain aligned with the technology trends, RPA offers plenty of career opportunities, including project manager, business analyst, solution architect, developer and consultant.
5) Blockchain:
Although most people think of blockchain technology as cryptocurrencies such as Bitcoin, blockchain also offers security that is useful in many other ways. In simple terms, blockchain can be described as data that you can only add, not change or take away. Hence, the term “chain” is being used, because you are making a chain of data. What makes blockchain secure is the fact that previous blocks cannot be changed. Also, blockchain is consensus-driven, which means no single entity can take control of the data.

Expected Increase in Enterprise Blockchain Market from 2019 to 2024
Image Source: Document Media
Several industries are implementing blockchain and as the use of blockchain technology is increasing, the demand for skilled professionals will also increase. According to Techcrunch.com, blockchain-related jobs are the second-fastest growing category of jobs, hence creating a wide number of job opportunities. So, if you are planning to make a career in the fast-growing industry and intrigued by Blockchain, then you must consider learning blockchain and gear up for an exciting future.
6) Machine Learning:
Machine Learning is an application of computer programs that is capable of making decisions, making algorithms and generating outputs without any human involvement. Hailed as one of the significant and impactful technological developments that we have seen in recent times, machine learning has already helped us to perform key-real world calculations.
Machine Learning Explained
Supply chain technology vendors are incorporating machine learning into their applications, helping the solutions to understand changing circumstances.
Here is how machine learning will help companies in improving their performance:
Machine learning will aid companies in developing applications that are capable of understanding natural human language.
The efficiency of logistics and transport networks would be enhanced with Machine Learning
It helps companies utilize preventive care for reducing gear failures and raise profits.
With machine learning, companies can take customer information to boost sales, construct useful clients and enhance brand loyalty.
Machine learning has become the most crucial technology to work in the future. AI-driven applications, combined with machine learning will help businesses in increasing efficiency, enhancing customer relations and increase earnings.
Researchers estimate that machine learning has the capacity to put in $2.6 trillion in value into the advertising and sales sector by 2020. In the recent report of Univa, it has stated that Machine Learning is predicted to skyrocket in the coming 5 years with 96% of companies expecting to use it for the production projects.
7) Chatbots:
Chatbots enable businesses to answer customer service inquiries of all types answered at any time of the day, from anywhere and even on holidays when customer support staff is not available. Earlier, we have covered what are chatbots and what are the benefits offered by chatbots. Today, we are bringing into your notice how chatbots will be evolving in the coming years.
Chatbots have the ability to interact with customers bias-free. Moreover, chatbots synthesize metadata, AI-based applications and hence easily personalize the customer experience.
According to the recent stats by Global Market Insights, the overall market size for chatbots worldwide would be over $1.3 billion by 2024. Hence, it would not be wrong to say that the chatbot industry is sure to become a driving force of business communications. With technological advancement, bots will become more intelligent to understand the intent of the queries and conversations.
Benefits of Chatbots for Business
Image Source: Litslink
To remain aligned with customer expectations, businesses are now focussed on creating chatbots with the help of Machine Learning, Artificial Intelligence and Natural Language Processing (NLP). Chatbots with a more conversational AI will:
Improve the user experience with user brand and hence aid in building brand presence.
Deliver personalized customer experience to build better relationships.
Positively affect customer’s perception and help you build a satisfied customer base.
So, this was all about the trends that will be evolving in 2020
For more such updates, stay tuned!
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Precision Medicine: Where Healthcare Meets Innovation
Let’s have a moment of silence for genes, as the culprits behind your doctor’s every failed prescription have been caught. Now you seem to be thinking how are genes related to failed prescriptions and if they are responsible, what are you supposed to do now? PRECISION MEDICINE, my friend, is the solution for all your worries.
Imagine yourself sitting in a doctor’s clinic complaining about developing an allergic reaction to the last medicine that he prescribed or medicine not responding. The medical checkup again begins with him asking you various questions about your problem, while he checks your vital stats.
The checkup further proceeds with the diagnosis of disease. This time your doctor prescribes you different medication, which surprisingly cures your ailment. When we term a medicine as unsuitable for us, there are various underlying causes for why that medicine doesn’t suit us. Genetic composition plays an important role for the medicine to work. As we cannot change the genetic makeup of the person, modern science has bestowed us with the gift of precision medicine.
What is precision medicine?
The ancient method of prescribing ‘common medicines’ and the following ‘one-size-fits-all’ principle is slowly fading out, creating room for new medical innovations such as precision medicine. Precision medicine (PM) idealizes customization of treatments, practices, medical decisions, and products according to the patient’s need. The diagnosis is done by genetic structure, environment, and lifestyle of the individual. Precision medicine employs tools like molecular imaging, analytics, and diagnostics.
It applies the concept that if two persons are not the same then how can their diagnosis be similar? For instance, a patient who needs a blood transfusion cannot be given blood from a random donor. The donor and recipient’s blood groups are matched first, and then the further transfusion is carried out. Why? Because if the blood groups are not matched before the transfusion, there is a risk that the recipient’s body may reject the received blood. Similarly, every individual has his/her genetic structure, which does not match with the other person’s. Thus, the treatment should also be given suitably. This is where precision medicine comes into play.
Due to its effectiveness, precision medicine market has seen rapid growth worldwide. A recent study from Allied Markets suggests that Precision Medicine Market is estimated to reach $7,746 million by 2023, registering a CAGR of 11.9% from 2017 to 2023.
Will it be too time-consuming and expensive to customize medicines?
Yes, it will be expensive, but the researchers have found an alternative way to tackle this problem. The individuals will be classified by their genetic structure, forming groups, which in turn has its share of benefits. Firstly, it reduces the cost of the treatment by reducing repetitive administration of the same medicine and alleviating the side-effects related to them. Secondly, the formed groups will have their tailored treatment. Thirdly, such groups will help in studying the population health and preventing diseases shortly.
Considering that genetic factor can boost the development of drugs instead of falling in the trial and error procedure, which is probably more strenuous and time-consuming, precision medicine will help biologists understand the cause behind the repeated occurrence of disease and relatively develop medicines to eradicate them from the root.
Recent developments in Precision Medicine Market
In 2015, Barrack Obama dedicated $215 million to the Precision Medicine Initiative – which included the idea to map the DNA of 1 million Americans, research genetic causes of cancer and evaluated new diagnostic drugs.
Certa Therapeutics, a firm based at the University of Melbourne has incorporated genetics analysis to anticipate the chances of the patients who are likely to develop kidney fibrosis, the precursor to the end-stage kidney failure, shortly. Greg Hunt, the Federal Health Minister, has announced the Federal Government’s Biotechnology Translation Fund largest investment. The Government is all set to boost the pioneering Australian company by pumping in $22 million cash. The aim of this funding is to support the clinical trials conducted by Certa Therapeutics.
Certa’s treatment, when incorporated with target medicine, has the potential of sparing patients from undergoing dialysis as the treatment will block the key receptor of the fibrosis. On an average, 53 Australians die each day due to kidney-related conditions, costing the Australian government about $1 billion per year. With its drug already escalated in Phase II clinical trials, CEO, and founder of Certa Therapeutics, Professor Darren Kelly said that the drug could be in the market within the next five years, transfiguring personalized care.
“It’s an incredibly exciting time to be working in medical science. The amount of stored genetic material at our fingertips is immense. Access to this genetic data is transforming how we treat diseases. Rather than creating drugs that work for the majority of the population, we can now tailor our treatment based on an understanding of genetic make-up. The implications of this for fighting disease are profound,” said Kelly.
Apart from kidney disease, clinical trials will also be conducted for different organs that are susceptible to fibrosis; for example, livers, eyes, or lungs. To promote the country as the global leader in the field of commercialization of biomedical discoveries, and clinical trials play a crucial role. Australian Government created Biomedical Translation Fund (BTF) worth $500 million in 2016.
Kelly successfully sold his previous biotech start-up, Fibrotech, to Dublin founded a pharmaceutical company, Shire to boost the development of its kidney drugs through a mid-stage trial phase. With this contribution by the side, Certa aims to buy back some of the drugs in exchange for an 18% stake.
Dr. Chris Nave, CEO of the Medical Research Commercialization Fund, which manages the largest pool of BTF funds, said that this investment represents raison d’etre of the BTF in many ways. It has provided sufficient capital to Australian medical science to carry on the late-stage clinical development in Australia. As per Nave’s statement, BTS is formed to be a transformative means for the local industry of Australia which enables research discoveries to develop from concept to commercialization in Australia itself. In the long run, this concept will create jobs and a more sustainable industry.
Uniseed, a project fund backed by the universities of Queensland, Melbourne, New South Wales, and Sydney, as well as CSIRO are contributing over $3 million.
Companies like F. Hoffmann-La Roche Ltd. (Roche), Illumina, AstraZeneca are some of the players that offer precision medicine in various field like oncology, auto-immune disease, and central nervous system (CNS) as well.
Involvement of AI
Involvement of artificial intelligence (AI) cannot be denied as it provides an exemplary shift towards precision medicine. AI techniques are currently used in target cardiovascular medicine to get a better understanding of the genotype and phenotype of existing diseases, enhance patient care quality, decrease mortality rates, and readmission.
Machine learning algorithms are used to analyze and determine inferences from the enormous amount of patient data that healthcare institutions record every moment. It is also utilized for genomic sequence. AI can be implemented to analyze patterns in the data and provide insights to medical professionals regarding the condition of an individual. Genome sequencing can be expedited using AI as well. AI can also be used for clustering and segregate the population into groups that can aid in the production of customized medicine.
Despite the fact that precision medicine has immense benefits, there is a fair share of drawbacks associated with its implementation. The major issue arises while handling the humongous amount of population’s genetic structure data.
Blockchain technology can be applied here to ensure that no data is mishandled, and it is used ethically. It can also ensure that the genetic information is shared securely across different platforms.
Benefits of Precision Medicine Market
As discussed before President Obama had announced a $215 million proposed genetic plan under the name of Precision Medicine Initiative. As proposed by the plan, NIH is supposed to receive $130 million for mapping the DNA of 1 million people. The received amount was divided as follows:
The National Cancer Institute received $70 million
The FDA received $10 million
Tech infrastructure to analyze and safely store data received $5 million
As usual, this announcement had sparked a series of online controversy. According to internet gurus, this plan is a trap for you and could prevent you from getting married, finding a job, or acquiring health insurance, because we all are about to become a part of elephantine genetic experimentation that aims to alter human beings. It will also lead us in knee-deep debt, and big pharma companies will reap the benefits. The hilarious theories include Obama’s plotting of genetic apocalypse.
Despite all this hogwash news, I have some concerns as well as some optimistic news.
New Diagnosis:
Finally, we will be able to pinpoint the genetic source of diseases that were unknown.
Effective prevention of the disease and early diagnosis:
Comprehending diseases at an early and detectible stage will help us to effectively prevent the disease before it strikes rather than reacting after its onset.
Studying shielding genes:
Every individual has a certain gene set that immunes them against their own ‘bad genes’ or against diseases. Analyzing these variations can help us understand how to watch over those diseases.
Drug advancement:
Instead of using the traditional trial-and-error method, therapies can be developed sooner and more efficiently by targeting the actual culprit.
Customized treatment:
Treatments can be molded according to the patient’s genomic structure, preventing the risk of allergic reactions and death due to allergic reactions.
World health:
An easy way to study the causes of ailments, cultivate new treatments and prevent diseases of the entire globe.
Low healthcare cost
If the focus changes from treatment to prevention, there are chances to cut the cost of medical aid.
Potential Downsides:
Data storing:
We all are aware of the fact that gene sequencing will create a massive amount of data.
Gene sequencing of million people is going to generate a mindboggling amount of data. The matter of concern is how and where are we going to store such amount of data to create sensible analysis?
Security:
The biggest concern of the era. With all these incidents of data leaks, how are we supposed to be assured that our genetic information will be safe?
Data applicability:
As per Obama’s statement, 1 million volunteers will be selected for data sourcing. That is a particular cross-section of people, which may not represent the entire population of the US. On this basis, how is it possible to make health recommendations for the entire population? Only certain types of people will sign up for the data collection while the others won’t. In this scenario, we will certainly miss some disorders.
Cultural problem:
Since, our genetic information will be out in the open there are no means to prevent the below issues:
Will we find potential partners?
Will we find jobs which do not discriminate on the genetic basis?
Will we be eligible for health insurance?
A whole new type of racism will be born, genetic racism. Brace yourselves! We are on the path of a real-life version of Gattaca.
Proprietorship:
The ownership of these genetic data should be given to the source where these genes come from rather than government claiming the ownership. On the contrary, a genetic sequencing company named 23 & Me had a bad experience giving the ownership to the individuals themselves. The FDA has barred the company from handing over the individuals their generic information.
Medical Aid Cost:
Yes, I agree there are chances that healthcare cost may go down, but the chances of them going sky-rocketing high are also equivalent. Genetically mapping population, analyzing the information, ensuring its safe storage, and developing treatments and recommendations is not an easy task.
Agreement between private and public sector:
For the private sector, genetic research and development is a very productive and promising sector. The chances of involvement of government in this project has a 50-50 chance. If the government gets involved in this project, will the government agencies work cooperatively or competitively with them?
Infrastructural needs:
For target therapy to work effectively, its infrastructural base has to be strong enough. Massive infrastructure and time will be needed for the appliance. These are the essential changes that have to be made for precision medicine to work smoothly. The fund provided by the federation may not cover the necessity required for data collection, sharing, and storage. Who will have to pay the rest of the fund remains unclear.
Despite the challenges in its execution, I am excited about the positive effects of this initiative prime one being its impact on population health. Whereas, the other part of me is anxious about the government’s invasion of the private space, which could decelerate the development of these life-saving therapies.
from Health Care Technology – ReferralMD https://ift.tt/2OdCtdb via IFTTT Precision Medicine: Where Healthcare Meets Innovation Health Care Technology from topofbestone https://ift.tt/2NLe4Lc via IFTTT
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