"Data Science" and "Data Analytics" are the most booming fields today and a large number of the crowd is inclined towards learning the same. Starting a career in Data Science and working in this field may not be as easy as it seems in the courses that are available online. You need to have a firm hold on critical thinking and analysis and need to pay great attention to details while solving any problem. Along with solving assignments and exploring the field you might as well get paid for it! So how to start freelancing in Data Science?

The majority of industrial manufacturing business leaders (55%) say AI is moving faster than it should in their field, with 49% of retail and tech leaders citing the same concern in their industries, according to a KPMG report published Tuesday. The report surveyed 950 full-time business decision makers and/or IT decision makers. The majority of industrial manufacturing, tech and retail leaders say the pandemic sped up their AI adoption plans. Fields such as government, financial services and healthcare and life sciences cited the pandemic as an accelerant less frequently. In the industrial manufacturing space, 93% of decision makers say AI is moderately to fully functional in their companies, while just 67% of healthcare and 61% of government leaders say the same.

Bengaluru: Global professional services company Accenture will acquire umlaut, an engineering consulting and services firm headquartered in Aachen, Germany for an undisclosed amount. The acquisition will scale Accenture's deep engineering capabilities to help companies use digital technologies like cloud, artificial intelligence, and 5G to transform how they design, engineer and manufacture their products as well as embed sustainability. The acquisition of umlaut will add more than 4,200 industry-leading engineers and consultants across 17 countries to Accenture's Industry X services, and expand the company's capabilities across a range of industries, including automotive, aerospace & defense, telecommunications, energy and utilities, Accenture said in a statement. Industry X combines Accenture's powerful data and digital capabilities with deep engineering expertise to offer clients the broadest suite of services for digitizing their engineering functions, factory floors and plant operations, improving productivity, speeding up the transformation of hardware into software-enabled products, and allowing for faster and more flexible product development. "We predicted that digital would ultimately be applied at scale to the core of a company's business - the design, engineering and manufacturing of their products. And, for nearly a decade Accenture has been building the unique capabilities and ecosystem partnerships to combine the power of digital with traditional engineering services," said Julie Sweet, chief executive officer, Accenture.

Organizations that contributed to the report include representatives from arXiv, AI Ethics Lab, Black in AI, Bloomberg Government, Burning Glass Technologies, Computing Research Association, Elsevier, Intento, International Federation of Robotics, Joint Research Center, European Commission, LinkedIn, Liquidnet, McKinsey Global Institute, Microsoft Academic Graph, National Institute of Standards and Technology, Nesta, NetBase Quid, PostEra, Queer in AI, State of AI Report, Women in Machine Learning, and many individual contributors. Supporting partners to the report include McKinsey & Company, Google, OpenAI, Genpact, AI21 labs, and PricewaterhouseCoopers.

Business leaders at every level see the value of using artificial intelligence, but using AI well is where the true value lies. Here, lessons from the leading edge can be a guide. According to a recent Deloitte survey, 82 percent of early adopters of AI are seeing positive financial results from their investment in cognitive technologies, with a median return on investment of 17 percent. Whether it is driven by technology or by business need, says Nitin Mittal, principal for the analytics and cognitive offering at Deloitte Consulting. Organizations looking to make the most of AI take heed: "Focus on specific use cases that could lend themselves to AI. Focus on business objectives that need to be achieved, prove the value, and scale up. That's where we see a lot of success," Mittal says.

The analytical capabilities of machine learning (ML) combined with the scalability of cloud computing provide a powerful duo to achieve truly transformational changes. Currently estimated to be between $2 and 5 billion, the cloud ML market has the potential to reach $13 billion by 2025.1 This projected exponential growth is a testament to the growing confidence among executives in cloud-based ML technology to further accelerate their AI programs. Based on our analysis of Deloitte's State of AI in the Enterprise, 3rd Edition survey, published July 2020, organizations that are already implementing a cloud ML approach are more likely to recognize the potential of AI technologies to transform their organization and industry. In our recent article, "Time, technology, talent: The three-pronged promise of cloud ML," we uncovered three key findings: These cloud ML adopters are defined as respondents who stated their organization is using cloud-enabled AI along with cloud-enabled ML platforms or tools.

GlobalData has identified ten of the biggest influencers in AI on Twitter during Q3 2019, using its Influencer Platform. GlobalData research has found the top AI influencers based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in AI on Twitter during Q3 2019. Ronald van Loon is a Big Data expert and Director at Advertisement, a data and analytics consultancy firm. He helps data-driven companies in executing data and analytics strategies to become more successful.

A digitally native company that helps organizations reinvent themselves to create a way forward and unleash their potential, Globant is the place where innovation, design, and engineering meet scale. Globant is a disruptor in the professional services arena and we leverage the latest technologies and methodologies in the digital and cognitive space to help organizations transform in every aspect. A pure-play in the digital and cognitive fields, Globant has a global presence with delivery centers in North America, Latin America, Europe, and Asia through which we offer a deep knowledge of the latest trends and technologies. With over 17,250 professionals present in 18 countries working for companies like Google, Rockwell Automation, Electronic Arts, and Santander, among others, we are featured as a business case study at Harvard, MIT, and Stanford apart from being a member of the Cybersecurity Tech Accord (2019).

AI is more hype, less reality, say three-quarters of the executives surveyed in a 2021 study by KPMG, "Thriving in an AI World: Unlocking the Value of AI across 7 Industries." And half think AI is moving too fast in their industry, even as they wish their company was moving faster. The hurdles to implementing AI are high, from a fundamental misunderstanding of what AI actually is and what it can do, to the significant lack of expertise available to help AI-curious organizations get their footing, says Dr. Ellen Campana, head of enterprise AI at KPMG LLP. "The overhype is a real concern," Campana says. "There are a lot of people trying to get into the game. Many have had a bad experience along the way, because they have put their trust in a group or person that didn't have a lot of experience with AI, or they didn't have a clear understanding of what to expect when launching an AI program."

AI is a major game changer. AI could contribute up to $15.7 trillion to the global economy in 2030, more than the current output of China and India combined. Of this, $6.6 trillion is likely to come from increased productivity and $9.1 trillion is likely to come from consumption side effects. Pricewaterhouse Cooper's (PwC) third annual AI Predictions Report has highlighted the importance of focusing on the fundamentals in preparation for large-scale AI projects. One of the big questions in their recent report was analyzing over 1000 respondents (200 CEOs) in the USA Survey and asked: How far along are companies in their usage of AI?